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Longitudinal neuroimaging analysis Programming in Python, R, and/or MATLAB Reproducible research practices and Git-based version control Preferred technical depth Neuroimaging software: FSL, FreeSurfer, ANTs
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outils de programmation tels que Python et Matlab est attendue, ainsi qu'un bon niveau d'anglais, à l'écrit comme à l'oral.A strong background in geomechanics, along with advanced skills in numerical
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- Significant experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid, is a plus; - Familiarity with the basic concepts of quantum information and
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“HORIA HULUBEI” National Institute for Research and Development in Physics and Nuclear Engineering | Romania | about 1 month ago
. - Computer operating/programming skills: Microsoft Office Suite, C++, Labview, Matlab, COMSOL, IDL, Python or other programs for data and image processing; A high level of intellectual curiosity, analytical
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: Strong scientific programming skills (e.g., Python/Julia/MATLAB) and experience implementing modelling/optimisation workflows with high standards for reproducibility Research track record: Publications
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reviews to guide experiment design and identifying emerging methodologies. Processing and analyzing large experimental datasets using scientific computing tools (Python/Matlab). Maintaining laboratory
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physics, electrical engineering, or a related field Are interested in quantum technology, quantum information, or condensed‑matter physics Have basic programming experience. Python, MATLAB, or similar is an
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the required test scripts in Python/Matlab. c) Propose a test plan and a test setup using semi-automated test procedures. Task 3: Test procedure validation (6 weeks) a) Conduct the proposed test plan
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contributions to peer-reviewed journals. Experience of programming (Python or MATLAB) for device control, data acquisition and analysis. A record of high-quality publications as leading author, as appropriate
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detailed documentation. • Develop models and implement program code (STATA, Python, SQL, R, SAS, Matlab, etc.). • Perform statistical analysis, including regression analysis and machine learning techniques