RCaz/eu-funding-proposals-sft huggingface dataset:
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Write a project proposal abstract for 'Design and development of energy-efficient next-generation communication networks' to be submitted under Horizon Europe.

assistant: **Abstract**

The communication networks of the future are expected to manage an explosive demand for connectivity and be sufficiently robustto deliver on all the promised benefits of 5G and 6G. A significant challenge to achieving such ambitions is the “energy crunch”: theuse of increased power will inevitably create problems for enhancing bandwidth. However, the ICT sector itself has the potential notonly to solve the energy crunch in networks but also to deliver significant savings on energy costs.My Fellowship addresses this energy crunch and energy efficiency in future networks. This project will develop a comprehensivedesign of an energy-efficient communication network that can manage the colossal demands for data. It will combine top-down andbottom-up energy analyses to obtain a comprehensive view of energy use and trends. It shall survey equipment over time andrenormalize them based on the latest developments in the field of semiconductor electronics. My work will facilitate building newmodels for emerging technologies such as 5G/6G core and federated artificial intelligence. By establishing an accurate picture ofenergy trends, it will establish key benchmarks and challenges for products and emerging technologies related to their energy useand sustainability. It will present strategies for sustainable deployment and operation of technologies and ways to maximize theirimpact on sustainability across society. Its outcomes will lead to the enhancement of energy efficiency of communication networksand support European Commission’s digital strategies, e.g., to sustain a green, secure and resilient IT infrastructure.


**Keywords:** energy efficiency, communication networks
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Draft the 'Objectives and Scope' section of a Horizon Europe proposal for the project 'Quantum resistant communications: Advance Learning in applied PQC Training'.

assistant: **Objectives**

Quantum Computers are about to be accessible to the public. The ability for Quantum Computers to break classic cryptography protocols is pushing the adoption of Post-Quantum Cryptography (PQC). PQC protocols are resistant against quantum computers. During 2022, and after several years of research, the first standards on PQC will be made available to the public. Although the EU has some scattered activities on PQC, it has not yet addressed the need for PQC experts in application of this emerging technology. This is the driving force for QUARC, a Doctoral Network Industrial Doctorate on PQC, providing interdisciplinary and integral training and research in PQC. QUARC will train 8 Doctoral Candidates (DCs) through an outstanding training program that includes coordinated research in different cryptography areas, focusing on implementation. QUARC is an industrial doctorate, and besides a 50% of their time located in an industrial partner, each DC will be also exposed to a set of training initiatives in the areas of relevance for industry and receive the support of an external advisory board made out of experts in the field. QUARC establishes a well-balances, interdisciplinary, intersectoral and innovative training network, with an overarching theme of quality and edginess: research as a training tool to push the current state-of-the-art in PQC.


**Keywords:** post-quantum cryptography
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Write clear, measurable objectives and define the scope for the project 'Stable Polariton LiDAR' (SPLiDAR) under Horizon Europe.

assistant: **Objectives**

In the realm of advanced optical systems, particularly within the emerging field of Light Detection and Ranging (LiDAR) technology, which are pivotal for 3D sensing applications across various sectors, a significant commercial challenge emerges from the inherent limitations posed by optical interference in thin-film filters. The core of this challenge lies in the phenomenon known as 'angular dispersion,' a fundamental constraint of interference-based structures in thin-film filter design. Angular dispersion refers to the shift in transmission wavelength of optical filters as the angle of incidence changes, typically resulting in a pronounced blue-shift. This effect, while intrinsic to the operation of optical interference, undermines the performance of LiDAR systems by requiring the filters to have sufficiently broad pass bands to accommodate the angular shift. The SPLiDAR initiative is set to revolutionize the landscape of photonic applications by introducing a groundbreaking approach that transcends the traditional constraints of angular dispersion. This approach harnesses the quantum optical phenomenon of merging light and matter states to create angle-independent transmissive filters, referred to as polariton filters here. This project is poised to redefine of optical filtering and sensing by introducing a novel class of spectrally sharp and angle-independent transmission filters, thereby overcoming the fundamental limitations of angular dispersion in conventional optical devices. The SPLiDAR project will leverage the team's profound expertise in thin-film optics, including transfer matrix and FDTD calculations and structure design optimization, along with a deep understanding of organic absorber properties and a wealth of experience in optoelectronics.
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Compose a compelling abstract for 'Multi-Modal and Cognition-Aware Systems' demonstrating excellence, impact and implementation quality for a Seventh Framework call.

assistant: **Abstract**

This research proposal is embedded in the research fields of ambient intelligence and human-computer interaction. One goal of both fields is to develop computing systems that are able to continuously monitor, learn from and proactively adapt to the state (or context) of the user. The proposal aims to add an exciting new concept to this topic - the use of eye movements to infer the cognitive user context. This project has the potential to lead to the development of cognition-aware systems, thus opening the door to a new area of research on the boundary between the cognitive and computer sciences.This highly inter-disciplinary project will focus on simultaneous assessment of eye and body movements as particularly promising means to infer the cognitive context of the user. The two main objectives are 1) the development of a machine learning framework for real-time inference of selected aspects of visual cognition from eye movements and 2) the extension of this framework to using additional sensing modalities, particularly body movements and physiological parameters.These objectives will be achieved by running a series of empirical studies, by developing pattern recognition and machine learning techniques specifically geared for simultaneous classification of eye and body movements, and by evaluating these techniques in real-time in a driving simulator. Experimental data will be collected using a wearable eye tracker and body-worn motion and physiological sensors.The current proposal directly contributes to Challenge 1 of the FP7 Work Program (Objective ICT-2011.1.3) and Challenge 2 (Cognitive Systems and Robotics). Its outcomes are expected to contribute to our understanding of natural cognitive systems, specifically cognitive processes in natural visual behaviour, attenti
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Compose the 'State of the Art and Innovation' section for a Fourth Framework proposal on 'NOx elimination by reduction with particulates'.

assistant: **Innovation**

Objectives and content The project aims at developing precompetitive knowledge concerning the combined reactive elimination of NOx and particulate by means of heterogeneous catalysis. The objective is furthermore to develop the concept of a new exhaust gas cleaning system, applicable to non-stationary diesel and direct injected lean gasoline engines. This cleaning system will be based on the use of the newly prepared catalysts in a low-pressure drop reactor/contactor for inter-reaction of the particulate and the exhaust gases. New catalysts will be prepared and tested on simulated particulate; most promising catalysts will be furthers tested in an atmosphere containing real engine exhaust particulate. Fuel with future 2000 specifications will be used for the testing and fuel additives will be tried out to enhance catalyst performance. It is the intention to develop a first catalyst for the reduction of NOx by the organic fraction of the particulate; the remaining unconverted NOx will be reacted over a second catalyst. If successful the catalysts for this reaction will be further developed. The exhaust treatment system will constitute a novel technology for the abatement of a major environmental problem, which is as yet unresolved. The Consortium consists of two academic partners, specialised in heterogeneous catalysis and in chemical reactor design and three industrial partners, which are major players respectively in car manufacturing, in pollution abatement and in the refining and processing industry.
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Draft an impact statement for 'Functional analysis of neural circuits identified by molecular markers and trans-synaptic tracers', explaining its relevance to EU policy priorities under Sixth Framework.

assistant: **Impact**

Local neural circuits form the modules of brain function. For example, in the visual system we find individual modules that are specialized to detect the orientation of objects, the colour, the presence of edges, or the direction of movement. The output and therefore the functional property of each module are determined by the interactions of the neurons within the modules. Despite their omnipresence, however, very little is known about the functional properties of local circuits.Their systematic investigation has been hindered by the sheer number of cells, and by the diversity especially of interneurons. This made repeated and reliable recordings from neurons of an identified circuit almost impossible. In this proposal I describe a novel and multidisciplina ry approach which overcomes this problem. It combines methods using transgenic mice, viruses and molecular biology (to label specific circuits) with electrophysiology and functional imaging (to monitor the activity of the labelled cells).This combination o f methods from diverse fields of biology creates a synergy that allows me to address questions which were previously inaccessible. I can record simultaneously from a population of cells of a single type to assess the encoding of a sensory stimulus in that cell type, and to judge the variability that exists in neural processing; I can asses the role of a cell type by recording from circuits in which I have eliminated this cell type; and I can follow information transmission and processing through every cell of a given circuit by singly or simultaneously recording from different cells in that circuit. Results from this project can also be applied to technical application, for example by building bio-inspired electronic circuits that mimic the computational lay out o
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Draft an executive summary for the EU project 'Phase-locked femtosecond photon echo study of exciton dynamics in aggregates' (1994-1998) targeting Fourth Framework.

assistant: **Abstract**

Research objectives and content Recently there has been great interest in the spectroscopy and dynamics of molecular aggregates. In solution aggregates form long-chain one-dimensional structures. In the past couple of years extensive nonlinear optical experiments were performed on aggregates in solution, using a femtosecond (fs) laser system based on a CPM (colliding pulse modelocked) laser. While these preliminary experiments provided glimps of the opportunities for nonlinear optical experiments on these systems, the CPM laser is intrinsically too unstable to perform state-of-the-art photon echo experiments. We have recently shown (5) that phase- locked heterodyne dejected stimulated photon echo (PL-HSPE) experiments provide a new dimension to the exploration of ultrafast optical dynamics. To perform phase-locked echo experiments at the J-aggregate wavelengths, a novel fs laser needs to be built. While the investment funds and expertise are available to build this light source there is no one to use this unique equipment for phase-locked photon echo experiments on aggregates. Hence, we ask for a PhD position in the framework of the TMR programme. Training content (objective benefit and expected impact) The candidate will gain new knowledge on modern non-linear optical techniques and new very fast lasers. The candidate will work in the Materials Science Centre in a very international atmosphere and will learn to collaborate in a interdisciplinary research group of physicists and chemists. Links with industry / industrial relevance (22) This work may eventually be of great importance for electro-optical devices.
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Describe how 'Freezing milt as tool for genetic improvement of farmed seabream' will create measurable scientific, societal and economic impact aligned with Fifth Framework.

assistant: **Impact**

The proposed project wants to accomplish tile following results in sea breeding:a) to use frozen milt of males sampled in different farms to progeny tested them;b) to use progeny test results to assess a genetic index to each sampled mate for trait of economical interest;c) to test the significance of G x E interaction by ranking the genetic values of the sampled males at two different location where progenies were grown.Two large fingerlings producers are involved: each of them will sample a minimum of 10 males to be genetically evaluated. Milt will be collected from sampled males and frozen. Frozen milt will be used to fertilise two groups of females (female reference population). Progeny groups will be kept at two different locations and fattened following two different procedures. The work will be organised according to the following TASKS.A. Sampling males from different SMEs, collecting and freezing milt.B. Breeding the reference female populations.C. Measuring the genetic differences among the sampled males for the collected measurements.For taskA (sampling males collecting and freezing milt) the major deliverables will be:- on farm validation of a protocol to freeze seabream sperm in straws;- a frozen semen bank compounded by doses of sampled seabream sires.For taskB (breeding females population) the major deliverable will be:- measurements of different fertility rates for seabream frozen sperm used on-farm.For taskC (measuring genetic differencies among sampled males) the major deliverables will be:- a genetic comparison of participating SMEs;- genetic indexes of sampled males (sires).This trial will also permit to estimate genetic parameters (heritabilities and correlations) for different traits of economical interest.
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Explain how 'Machine learning for quantitative modelling of structured phenotypes' goes beyond current state-of-the-art under Seventh Framework.

assistant: **Innovation**

Understanding phenotypic variation, and more particularly identifying the causal genetic or environmental regulators, is a major aim in biological investigations. The goal of this proposal is to develop and apply machine learning techniques to model key aspects of structure that occur in modern, high-dimensional phenotype datasets. First, the temporal structure of phenotypes that are recorded over time is addressed. Statistical models can exploit smoothness of time series and detect change points. Second, the structure of images, arising when digital pictures are used as phenotypic variables, is considered. Machine learning techniques allow interpretable image features to be automatically extracted and used as quantitative traits, complementing classical measurements. Finally, the network structure of the phenome is addressed. Different phenotype variables influence each other, resulting in a chain of effects that needs to be modelled to reveal the true causal relationships. The developed algorithms will be applied to understand phenotypic variation in Arabidopsis thaliana in direct collaboration with researchers at the Max Planck Institute for Developmental Biology.
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Describe how 'Atom-Tunneling in Chemistry' will create measurable scientific, societal and economic impact aligned with Horizon 2020.

assistant: **Impact**

Quantum mechanical tunneling of atoms is emerging as an ubiquitous phenomenon in chemistry. Every chemical reaction that includes a hydrogen transfer can be expected to be influenced by tunneling at room temperature. While simulations can monitor tunneling directly, experimental approaches can only detect the consequences. Theoretical investigations, as planned in TUNNELCHEM, have to keep up in order to aid the rational interpretation. We build on significant algorithmic breakthroughs recently achieved in the applicant's group, which allow accurate predictions of tunneling rates in larger systems than previously possible. These possibilities are to be exploited, which requires a big, combined project that can afford high-risk components.In TUNNELCHEM, we will investigate aspects of tunneling in several different areas of chemistry: biochemistry, astrochemistry, catalysis and algorithmic development. The investigation of tunneling contributions to enzymatic reactions will allow to plan modifications which increase the selectivity and efficiency. Several astrochemical processes can only be understood if their tunneling contributions are properly accounted for. Accurate tunneling rates will significantly improve the predictive power of models of the interstellar medium. Many processes in homogenous and heterogenous catalysis involve tunneling. A fundamental understanding of the principles involved allows for the design of improved catalysts. Further development of methods and algorithms in accordance with the demands of the applications is required. TUNNELCHEM will shift the present paradigm from descriptive investigations to a rational design of catalysts enabled by a mechanistic understanding of atom tunneling processes.Only such a combined effort may allow us to underst
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Describe the novelty, innovation potential and advance beyond the state of the art for 'TRemor as Eruption MOnitoR' (TREMOR).

assistant: **Innovation**

A small eruption in Iceland in 2010 had a big impact on the economy, airlines, and people in Europe and worldwide.Forecasting eruptions and mitigating their effects requires better understanding of the precursory signals and their detectionamongst other signals. One of the key geophysical signals is volcanic tremor which is observed before and during eruptionsbut is only phenomenologically interpreted. The project TREMOR, based at the Icelandic Meteorological Office (IMO) andthe University of Cambridge will exploit their extensive, multidisciplinary databases including recordings of recent eruptionsand floods. It will overcome present shortcomings, such as badly constrained tremor locations through use of new locationtechniques, dense seismic networks and small source-receiver distances. These improvements are made possible by theFUTUREVOLC project (FP7, 2012-2016) which expanded existing networks in Iceland shortly before the Bardarbunga2014/15 eruption. Preliminary results during the researchers PhD suggest that both pre-eruptive and eruptive tremor existduring this eruption and have different characteristics. The TREMOR project will continue from this point with the objectivesto (i) systematically search for pre-eruptive tremor, (ii) characterise it with respect to eruptive tremor and other tremorsources such as floods, glaciers and hydrothermal boiling, (iii) find factors that affect its characteristics and (iv) understandthe source mechanism better. If TREMOR is successful, pre-eruptive tremor can be introduced as an eruption precursor, notonly with direct application at IMO, but potentially worldwide. This thorough study will form the basis of future research, as itwill be disseminated through conference presentations, publication in peer-reviewed journals and com