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Eligibility criteria Selection will be based on the following scientific and technical criteria: • PhD in computational biology, machine learning, bioinformatics or a related field. • Proficiency with Python
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Eligibility criteria The recruited person must have expertise in cosmology, numerical development and machine learning. They must be proficient in the Python programming language, with experience in JAX being a
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of complex mechanisms in large biological objects. (3) Computational modeling of transition pathways in high-dimensional systems. Prior experience in computer programming, machine learning algorithms, and
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astrophysics, cosmology, or a related field completed by the start date; strong programming skills; working knowledge of machine learning applied to astrophysics and cosmology, in particular simulation-based
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, integrating statistical inference, machine learning, and population genetics. We will develop advanced computational methods to characterize the functioning of T- and B-cell repertoires. The goal is to build
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interaction of magnetic skyrmions in nanodevices. The second objective will be to develop an inverse-design code combining micromagnetic simulations and machine learning methods, in order to optimize skyrmionic
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comparison with predictions from machine learning models • Close collaboration with researchers in charge of machine learning, algorithmic architecture and performance analysis • Contribution to the scientific
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. This Post Doctoral position is part of the SilentPitch ANR project which involves a puri-disciplinary team of researchers including machine learning, speech science, cognition and behavioural studies
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ANR project which involves a puri-disciplinary team of researchers including machine learning, speech science, cognition and behavioural studies. This Post Doctoral position will be co-supervised by
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of Research Experience1 - 4 Additional Information Eligibility criteria We are looking for a doctor in particle physics with less than two years of experience after the PhD. Experience in machine learning and