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for cosmological simulation, Bayesian sampling or high-performance computing. Strong skills in Python programming and collaborative development (Git/GitHub, CI/CD, open-source practices). Ability to conduct research
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the cavity, we will perform high-resolution spectroscopy of an ultra-cold ytterbium ensemble coupled to a single mode high finesse Fabry-Perot cavity to estimate the atom-cavity coupling. The next objectives
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About the Opportunity Job Summary The successful candidate is expected to perform high-level theoretical research at the interface of theoretical physics and artificial intelligence (AI
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neuroscience with expertise in molecular biology and bioinformatics to lead high-impact research projects. Key Responsibilities Lead independent and collaborative research projects employing multi-omic profiling
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record to contribute to the development and automation of advanced electrolysis systems. The successful candidates will work on the automation, operation and optimization of electrochemical systems
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 8 days ago
scalability on high-performance computing (HPC) platforms. The main assignment will be to investigate how knowledge about the structure and local interactions of combinatorial optimization problems can be
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to advance knowledge in the following domains: Formal verification and interactive theorem proving (Rocq, Lean) Secure and high-performance computer systems, including ML infrastructure We seek outstanding
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describing manufacturing process and structural performance are of nonlinear and multiscale nature. As those high fidelity models are not suitable for control applications, equivalent and efficient physics
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the transfer of heat, fluids, and gases from the mantle to the crust, crustal deformation and the evolution of sedimentary basins through flexural isostasy in response. However, these large-scale processes
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laser arrays Optimization and acceleration of existing simulation codes Parallel computing and high-performance computing (HPC) GPU acceleration, where appropriate Development of scalable numerical