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to support computational analyses, interpret results, and produce publication-quality figures and written reports. Maintain and document lab software tools, HPC workflow scripts, Python packages, and
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Windows server administration, installing applications and data science tools (R, RStudio, Python, Anaconda). Experience with cloud monitoring tools (AWS SNS, CloudWatch, billing dashboards) and budget
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discipline. Working knowledge of Python. Knowledge of a computing environment (Mac or PC). Ability to work independently and in a team environment. Preferred Qualifications Experienced in working with and
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. - Knowledge of programming languages for instrumentation (LabView, Python) Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5589-BAPALL-001/Default.aspx Work Location(s) Number of offers
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Qualifications Experience with physical oceanography, coastal systems, or offshore wind research Proficiency in scientific programming (e.g., Python, MATLAB, or similar tools) Strong communication skills
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tools, data science/statistical techniques, ML techniques including (but not limited to): Data analysis programming and visualization languages (R, Python, SAS); Applied statistics including MVA, MLR
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Python, MATLAB, and/or Simulink is highly desirable. Experience with SolidWorks and 3D printing is preferred. Strong problem-solving skills and attention to detail are essential. Previous experience in
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Python for code development and ML model training and inference, demonstrate excellent communication skills and be fluent in English, show strong interpersonal skills and the ability to work in an
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, enabling proactive measures against potential threats. Required knowledge Python programming Machine learning background
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design; Proven experience in data processing and visualization (Python or MATLAB). 5. Eligibility: Applicants are eligible if they comply with paragraph a) of no.1 of article 2, of the Research Fellow