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enthusiastic about computational imaging and have experience in solving inverse problems. You enjoy scientific programming and thrive in collaborative, international environments, while also being able
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molecular programming, microfluidics, and engineering to design sophisticated algorithms for exploring and manipulating information encoded in DNA-based graphs. The position is fully funded by a
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) development of multi-physics models in both numerical simulations and analytical calculations, (iii) data analysis by programming, e.g. python and matlab, (iv) help and guide of Ph.D students in the team
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modeling or EEG is an advantage, but is not required. We welcome applicants who are motivated to develop strong programming and quantitative skills. A Master's degree, completed by the start of the
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Eligibility criteria Core Competencies: - Functional ecology, stability theory in ecology, dynamical systems, linear algebra, data analysis. Operational Competencies: - Scientific programming, writing
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Eligibility criteria Good knowledge of particle physics and quantum chromodynamics. Knowledge of computer programming is a plus. Website for additional job details https://emploi.cnrs.fr/Offres/CDD
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modeling framework that combines physical glacier modeling with physics-informed machine learning using differentiable programming (Universal Differential Equations). Using the ODINN.il glacier model
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- 4 Additional Information Eligibility criteria Knowledge in epithelial organization and dynamics Expertise in genetics and live-imaging. Knowledge in programming Strong will to work as part of an
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interfaces, wave phenomena or metamaterials would be an advantage. Proficiency in at least one scientific programming language Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7231
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, GROMACS, or ASE), machine learning potentials (MACE), DFT calculations (VASP), programming (Python, PyTorch), and knowledge of nanofluidics, statistical thermodynamics, and data analysis. Website for