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correction and/or mitigation. Knowledge about networking protocols and distributed algorithms. Experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid
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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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particular, the work plan includes the following activities: - Develop a methodology for interpreting and digitizing fire safety regulations for buildings using Artificial Intelligence algorithms, including
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networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis
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interface, and all the way to quantum algorithms and applications. The long-term mission of the programme is to develop fault-tolerant quantum computing hardware and quantum algorithms that solve life
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algorithms Predicting structured output Self-supervised learning Computational metabolomics Computational biomedicine Computational drug discovery Excellent technical and communications skills are required
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Physics based machine learning algorithm to assess the onset of amplitude modulation in wind turbine noise (with TNEI Group) EPSRC Centre for Doctoral Training in Sustainable Sound Futures PhD
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Illes Balears (UIB) / University of the Balearic Islands (UIB) Where to apply Website https://ppi.uib.cat/ Requirements Research FieldEngineering » Computer engineeringEducation LevelPhD or equivalent
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research activities, assists in preparing human subjects protocols, manages and analyzes data across multiple projects. Contributes to building traditional statistical models and machine learning algorithms
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particular focus on applications relevant to the Arab world. The successful applicant will join a multidisciplinary research team working at the intersection of machine learning, algorithmic fairness, human