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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 5 days ago
at the Centre Inria de l'Université de Lille in the Scool team. He or she will be in contact with experts of sequential decision making. The candidate will study different research questions related
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The Mathematical Modelling of Infectious Diseases at Institut Pasteur consists of 12-15 researchers at different stages of their career developing state-of-the-art statistical and mathematical methods to analyze
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CSAES - Postdoctoral in Experimentation and analysis of the dissolution and diffusion of different fertilizer formulations About UM6P: At the heart of the future Green City of Benguerir
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 11 days ago
) for the mathematical and computational aspects as well as by Mohammed Bendahmane (https://www.ens-lyon.fr/RDP/Morphogenese-florale/ ) (Inrae Lyon) for the biology. It will also be conducted in close collaboration with
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Biology, Biostatistics or in a related quantitative field (e.g., Statistics, Mathematics, Physics). You will be passionate about science, hardworking, and excited to learn and improve skills in
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 6 hours ago
Acceptable Education & Experience: A Ph.D. in Applied Mathematics, Physics, Mechanical/Aerospace Engineering, or Atmospheric or Oceanic Science, with a focus on Fluid Dynamics Experience in high-performance
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(AI) or closely related topics in computer science, mathematics, or physics, a thorough understanding of reinforcement learning, fluency in English. The ideal candidate: is interested in working in a
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are applicable to some visas. Person Specification Essential Criteria: Qualifications 1. A good first degree in Mathematics, Physics or a related subject. 2. A PhD (or be close to submission) in Applied
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disease modeling. The group employs methodologies from different areas of mathematics, engineering, and physics, and integrates multiple sources of biological information to study biological processes
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the direct incorporation of physical laws or constraints into the neural network training process. To achieve our goal, we will conduct analysis of several surface water management scenarios in different