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related to modeling and simulation of biological systems, 3) very good IT skills, in particular the ability to program in Python, 4) very good knowledge of machine learning methods, neural networks, and
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collaboratively in an international research environment Preferred qualifications: Proficiency with a relevant data-analysis environment, preferably Python or R, and SPSS Background in comparative higher education
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Excel. Intermediate level R, Python, and SQL. Familiarity with SPSS, STATA, Dedoose, or similar software. Previous experience in data visualization with business intelligence software such as Power BI
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for managing and analyzing large, complex datasets to support research projects in these fields. This work will likely involve statistical analysis using programming languages such as Stata, R and Python
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additional years Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8079-TATGIR-024/Default.aspx Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent Research
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research on perovskites and/or organic semiconductors Demonstrated experience in global and deconvoluted data fitting, programming in Python and Matlab, as well as electronic structure modeling Intercultural
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Posting Summary Logo Posting Number RTF00210PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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University of Ottawa | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | about 2 months ago
discipline quantitative connexe; cinq années d'expérience en enseignement postsecondaire; excellente connaissance de l'informatique statistique (R ou Python, SAS); bilinguisme (français et anglais). Poste à
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computing, obtained within a maximum of 7 years; application of machine learning and deep learning methods to remote sensing images; proficiency in programming (R, Python, or similar); ability to work
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, although holding a PhD in other areas, have a scientific curriculum in one of these areas may also apply. 3. Candidates must have knowledge of markup languages (XML/TEI); programming languages (Python/R