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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 7 hours ago
Python and good analytical skills. A good background in probability/statistics and deep learning is expected. Knowledge of differential privacy and/or fairness is a plus, but not necessary. The candidate
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to optimization algorithms Other closely related topics Your profile Master's degree in computer science, physics or a related field Advanced knowledge in the field of Quantum Computing Knowledge of Python Good
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(as a large collection already exists in the lab). Profile and desired skills: Profile: Students with 5 years of higher education (Master level) -Knowledge of population genetics/genomics -Good
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subject developed within an international framework, benefiting from European funding and computational resources. The interested candidate will ideally have good knowledge of the following methods
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2 Sep 2025 Job Information Organisation/Company CNRS Department Écologie, systématique et évolution Research Field Physics Researcher Profile First Stage Researcher (R1) Country France Application
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or she must demonstrate strong motivation for research at the chemistry-biology interface, good organizational skills, and autonomy. Knowledge of glyco-chemistry would be an advantage. Website
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 22 days ago
decidable and solvable via a SAT-Solver. This approach has a major flow as it is not possible to be sure that the formula is satisfiable for larger models. Interestingly, communities in Knowledge
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to identify the boundaries of the feasibility space and target the exploration effort. It is also planned to generate knowledge throughout the exploration of process flowsheets (good or bad), which will be
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about material sciences: how far can we exploit the knowledge gained by these fundamental investigations towards designing efficient, general-purpose LH materials, applicable to functional light energy
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scientific computing. You are proficient in several languages (Python, C/C++, or Fortran), with extensive knowledge in AI/ML and parallel programming (GPU, multi-threading, etc.). You have strong software