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Field
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strong computational and mathematical skills, and experience working autonomously with large AI models and big dataset. We publish in computer science conference, interdisciplinary journals, and social
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Infrastructure? No Offer Description - main mission: The team is based at the Laboratory of Pathogens and Host Immunity (LPHI) at the University of Montpellier and focuses on applying mathematical and
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across time and contexts. Job Description: You will develop and apply mathematical models and machine learning algorithms to analyze the structure and evolution of knowledge systems across different
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neuroanatomy, mathematical/computational modeling, and the cognitive/clinical neurosciences. If you recognize yourself in this profile and are interested in the role, we look forward to receiving your motivation
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. There is extensive collaboration between these themes. For more information about the Mathematical Institute, see https://www.universiteitleiden.nl/en/science/mathematics . What you bring PhD in mathematics
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agreed. The positions are for a period of two years, with a possible one-year extension. Your experience We expect you to have a PhD degree in Mathematics or a related field, and a strong research
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basis of what we do lies in biology, but our research overlaps with other areas such as medicine, computer science, mathematics, chemistry, engineering sciences and physics. In total, we are over 200
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The successful candidate will hold a PhD in applied mathematics, and will have knowledge of PDE discretization methods such as finite elements, finite volumes, etc. Practical knowledge of at least one programming
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. Criteria of candidates: PhD in Chemical/Mechanical Engineering, Energy, Applied Chemistry, Applied Mathematics, Physics, or related disciplines, with a focus on reactor and process design and development
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scientist. Job requirements Professional experience Machine learning / Deep learning tools (pytorch) and predictive modeling Bioinformatics analysis of omics data Education and training PhD or equivalent