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development Qualifications PhD degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field Strong experience with programming in Python, R, or similar languages
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engineering, control engineering, operations research, applied mathematics, or a closely related field. Documented experience in energy-system modelling, mathematical optimization, control, digital twins
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Engineering, Applied Mathematics, or a related field. Candidates should have expertise in several of the following areas: Scientific software development (C++, Julia, Rust, Python, or similar) Numerical methods
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environmental science, physics, chemistry, mathematics, engineering or similar. You need to demonstrate experience with collaboration and presenting works at international conferences and leading manuscripts
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that influence human interaction and learning. While multimodal systems are already being developed to monitor physical and cognitive engagement, current approaches offer limited interpretability and often do not
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of physics, including in high energy and condensed matter systems. Applicants with a background in algebraic topology, higher geometry, or mathematical physics are encouraged to apply. Terms of employment
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relevant field, such as plant science, crop science, agricultural engineering, biosystems engineering, horticulture, applied physics, data science or a related discipline. Demonstrable research experience in
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intelligence, data science, medical physics, neuroimaging, bioengineering, or related disciplines, accompanied by accredited training in machine learning, deep learning, or medical image analysis. Experience: A
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geometry, or mathematical physics are encouraged to apply. Terms of employment include competitive salary and benefits. Research in Professor Hisham Sati’s group focuses on proper formulations of physical
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
institute of the Rennes University (IRMAR). The team expertise encompasses mathematical (stochastic) and numerical modelling of ocean flows, observational and physical oceanography, data assimilation and