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). Specific goals will be discussed and elaborated with selected candidate, depending on their background, interests and skills. The successful candidate will join the Climate research group (https
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, diesel generators, and other sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python, or embedded software tools. Integrate controller logic with
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Familiarity with statistics and programming experience in Python are advantageous Strong intention to be a part of international team with interdisciplinary questions We offer: An interesting and vibrant field
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 2 months ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-09697 Requirements Skills/Qualifications Technical skills and level required: Good skills in Python programming and/or C++ Good skills in Linux
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engineering Very strong mathematical and algorithmic background Programming experience (Python, C++, etc.) Familiarity with parallel programming frameworks (e.g. MPI, CUDA) Fluent in written and spoken English
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to multidisciplinary projects on heat, environment, and human health. This position is embedded within Project HEATS (link: https://www.linkedin.com/company/project-heats/about ) and related initiatives which combine
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information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Department of Library and Information Science seeks part-time lecturers for its
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on the following areas: Development algorithms and their software implementation in Python and PyTorch Validation of results and comparative analysis of proposed method with baseline approaches Qualifications You
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to the University of Gdańsk Remuneration Regulations. COMPETITION DEADLINE: February 23, 2026. Keywords: econometric modeling, statistical tools, computational programming (R, Python), BI methods. REQUIREMENTS
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collaboration with experimental scientists. Our group develops and maintains open-source software for data analysis, including HiCognition (https://www.hicognition.com) for interactive exploration of genomics