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programme Reference Number AE2025-0602 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0602
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
Research Center, and Behavioral Health Workforce Research Center. The Data Analyst will * Perform data cleaning and statistical analysis using SAS, Stata, R, Python, and SQL. * Perform descriptive
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cleaning and analysis in a programming language, with a preference for Python and/or R o Strong organizational skills and exceptional attention to detail; the successful candidate will record and share
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results Your Profile: A Masters degree with a strong academic background in physics, mathematics, computer science, or a related field Proficiency in at least one programming language (Python, C
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. Your Profile: A Masters degreee with a strong academic background in physics, mathematics, computer science, or a related field Proficiency in at least one programming language (Python, C
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for control and analysis of instruments, applying these systems to the study of human diseases, and acquiring and analyzing clinical data sets. Programming skills should include MATLAB, Labview, Python and/or C
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place in a highly collaborative scientific environment, in close connection with the European partners of the OptimESM project. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UAR636-ALERUB-021
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hardware avanzadas basadas en FPGA. Intregación hardware/software utilizando C/C++, Python. Despliegue de sistemas empotrados utilizando Linux. Implementation of advanced FPGA-based hardware solutions
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degree and three (3) years of professional experience, which has included at least two (2) years of web and application developer on a Linux, Apache, MySQL, and PHP (or Perl/Python) (LAMP stack). Any
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join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops explainable, autonomous, and multimodal artificial intelligence (AI) systems to advance biological discovery. Our research integrates