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tools including strong expertise in the analysis of large data sets using Microsoft Excel required. • Familiarity with R or Python as data analysis/manipulation tools is preferred. • Experience using
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, to join our team! We are located at the Department of Biomedical Informatics (https://www.chiragjpgroup.org/members.html ), Harvard Medical School, with affiliations with the Harvard Data Science Institute
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engineering Computer science -> Cybernetics Positions: PhD postion Type of contract: Temporary Job status: Full-time Hours per week: 40 How to apply: https://www.fei.vsb.cz/en/applicant/doctoral-study/ Select
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by Renew Risk Ltd. (https://www.renew-risk.com/ ), offering opportunities to work with real offshore wind farm models and industrial datasets while addressing real-world challenges in collaboration
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or Python (data management, statistical modelling, visualisation, and reproducible workflows). Excellent English (written and spoken); Spanish and/or Catalan are an asset, and additional European languages
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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 languages is
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: Strong hands-on experience with SDRs (USRP, RFSoC, or equivalent). FPGA programming experience is a plus. Programming Skills: Strong experience with MATLAB and/or Python; experience with C++ for high
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field is required. - 2+ years experience in a wet lab research setting. Preferred Qualifications: - Familiarity with Matlab, Python or R for data analysis. - Research experience involving neuroscience
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TASKS The Marchal lab (IDLab/IMEC Ghent University, https://idlab.ugent.be/people/802000961346 ) has an open PhD position within the Marie Sklodowska-Curie Doctoral Networks (MSCA-DN) project iSTRIDE
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
. Preferred Qualifications, Competencies, and Experience Programming skills (e.g., python, bash scripting, Fortran, C++ and CUDA), expertise in computational modeling (such as Deep Learning, Molecular Dynamics