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Application Deadline 31 Dec 2027 2027-12-31 8:00:00 2027-12-31 18:00:00 Europe/Paris Postdoc position in Machine Learning for Integrative Genomics The Machine Learning for Integrative Genomics team (https
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degree in Computer Science, Mathematics, Physics or similar fields Broad interest in diverse scientific topics Self-motivated personality with a curiosity for working in a multidisciplinary team
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in terms of detection accuracy and reliability Your Profile Ongoing masters degree studies in computer science, data science, engineering, machine-learning, or other closely related field Good
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consumption on complex algorithmic or cognitive tasks. This project is part of the ELEVATE MSCA Doctoral Network (https://www.elevate-dn.eu/) and co-supervised by our partners at the university of
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collaboration with energy system modelers Your Profile Completed master's degree in a STEM field; a degree in computer science, data science, or an AI-related discipline is preferred Strong interest in
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publishing in peer-reviewed scientific journals Your Profile Master’s degree in electrical engineering, physics, computer science, or a related field Strong academic background in embedded AI and in the
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. Your Profile Currently pursuing a master’s degree in Computer Science, Data Science, Artificial Intelligence, Geosciences, Physics, or a related field Strong programming skills in Python and experience
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or a comparable field i.e. Electrical Engineering, Computer Science/ Engineering, Physics or the like Strong mathematical background Interest in energy systems, power grids and their components
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and prepare your doctoral thesis Your Profile Your qualifications and technical background include: An excellent master’s degree or equivalent in computer science, data science, applied mathematics
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electrical/electronic engineering, computer engineering, computer science, physics, or related fields Experience with emerging memory devices A strong electronics background, including experience in