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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 13 days ago
/offres/2026-09948 Requirements Skills/Qualifications Candidate profiles ● Ph.D. in Computer Science or Applied Mathematics. ● Solid programming skills, e.g. python and/or C++. ● Solid experience with deep
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to spatter landing sites Analyzing data from experiments using Python Train and validate machine learning model for processing data Writing/submitting manuscript of work to academic journals for publication
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students and working effectively in a team-based research environment Proficiency in common computational chemistry software and coding techniques e.g. Gaussian/Amber/Schrödinger/python/bash For more
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or edge AI deployment. Strong programming skills in C, C++, and Python, with experience in deep learning frameworks such as PyTorch or TensorFlow. Familiarity with deployment constraints on cloud, edge
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. Experience in process modelling and simulation (e.g., Aspen, Modelica, MATLAB, Python). Strong understanding of heat exchangers, thermal loops, and multi-physics systems. Experience in techno-economic analysis
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U.S. Citizen Preferred Qualifications - PhD in Physics or a related field - Experience is required in two or more of the following areas: - frequency stabilization of laser systems - Python programming
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Fellow will strengthen our analytic capabilities by using Python and AI-enabled methods to extract, classify, and summarize insights from unstructured data, including text, images, and other digital
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—specifically Python, C++, or Java. The developer must be able to translate logistical constraints into efficient, scalable code capable of high-speed, real-time decision-making. Integration Support While
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London School of Economics and Political Science; | London, England | United Kingdom | about 1 month ago
statistical tools (R and/or Python). Develop and conduct optimisation modelling (e.g. electricity market and grid dispatch). Assist in literature reviews and summarising academic research. Contribute to writing
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systems, social sciences, epidemiology or other health-related fields. Demonstrated proficiency through previous developed analytical codes with R Language for Statistical Computing and/or Python The ideal