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Staff/Administrative Internal Number: 1113775 Position Summary The Clinical Neuroscience Lab at Michigan State University (https://cnl.psy.msu.edu/ ) is seeking to hire a Research Technologist I to
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languages (e.g., R, SAS, Python). Working Conditions Office-based. Application Documents Resume (required) When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled
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, machine learning and computer vision techniques, statistical data analysis, and Python programming. Activities will include field calibration and validation of models and data integration into a decision
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. The PhD will employ a combination of simulation and experimental validation. First, use and develop existing coronagraphic simulation tools in python to develop innovative algorithms, then conduct tests
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 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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Applications: Microsoft Outlook, Not Applicable Preferred Other Computer Applications: Python, Unix Preferred Additional Knowledge, Skills and Abilities: Extensive knowledge of research methodology and
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personal style willing to receive assistance and coaching when needed from the faculty lead. Prior experience in a diverse higher education institution preferred. Knowledge of Python and/or R programming
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research involving speech, voice, or motor control Experience managing a team of student researchers Technical aptitude in any of the following: MATLAB, Python, R, signal processing, or biomechanics Other
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
), with evidence in open-source code or deployed tools. - Solid programming and ML/NLP engineering skills in Python or ideally modern deep-learning stacks (e.g., PyTorch/JAX, HuggingFace/Transformers
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and experience. Knowledge of scientific programming languages such as C/C++, Fortran, Python, R, etc. Working knowledge of software related to cluster computing and servers, such as Flex, Slurm, PBS