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in the network. Here unfair indicates that people with different personal traits are differently and unjustly affected by algorithms not designed to consider those traits. This project aims to develop
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of algorithms, data models, and interfaces. Research and selection of the tools and technologies to be used. • Initial development and prototyping: Start of development of the core components of the malicious
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of initial prototypes for concept and algorithm validation. Preparation of datasets for training and testing. • Implementation and advanced development: Complete development of the detection modules, including
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methodology will involve the development of mathematical models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation
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. This involves the development of mathematical models for signal transmission/reception, derivation of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or
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to recruit one research assistant. Job Description The candidate will participate in FORTH-IESL's R&D activities within the COLOURS project, working on developing algorithms and integrating software tools and
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the development of stochastic models for decentralized energy markets, decentralized and learning-enhanced market clearing algorithms, and fair-by-design pricing strategies. The research will address one or more of
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experience with, statistical methods and machine learning algorithms applied to climate science research challenges. They must be highly organised and motivated and should demonstrate aptitude for programme
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edge of energy systems and computational engineering, developing scalable methods to simulate and secure IBR-dominated grids. Your key responsibilities include: Conducting large-scale simulations
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hours and attendance; Compliance with the work plan, specifically the development of software for the AI module, including the implementation of algorithms, integration with the main application, and