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Your Job: As part of an interdisciplinary project team with researchers from bioinformatics you will work on quantum algorithms for drug discovery. Here, the focus lies on machine learning and
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multiphase phenomena. The study will combine theory, algorithm development, and computational modeling, with the goal of advancing scalable hybrid approaches for next-generation fluid simulations. Who we
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related to staff position within a Research Infrastructure? No Offer Description The Leverhulme Centre for Algorithmic Life is a major new interdisciplinary research hub dedicated to the study of how
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decomposition algorithms (such as Logic-based Benders decomposition) for which it is crucial to define how to exchange information between the various subproblems into which the original problem is decomposed
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and statistics, machine learning, information theory, optimization, and algorithms, to better understand the behavior of markets and direct our trading. We also work together to continuously enhance
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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
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algorithms, computational complexity theory, and information theory Relevant coursework and experience in spiking neural networks, and statistics A strong electronics background, including experience in
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learning algorithms for a variety of predictive analytics research projects. Coordinates data collection, econometric analysis and provides quality assurance for research projects. Contributes to research
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/38937 Job Number SE171524 Position Information Department or Unit Name Fowler School
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research focuses on fundamental questions in automata theory on the one hand, and on algorithmic questions arising from concrete problems on the other. Where to apply Website https://emploi.cnrs.fr/Candidat