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, LLM, Stata, Python, or R; (f) have track record of publications in high-quality international journals or demonstrated potential for future publications; and (g) have experience in collaborative
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analysis algorithms using Python and databases. 3) Prototyping and experimental testing: implementation of prototypes of electronic light sensor devices and conducting experimental tests of the indoor
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and statistical skills, with proficiency in R or Python Experience working with longitudinal data, infectious disease epidemiology, or high-dimensional datasets Demonstrated track record of peer
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Strong analytical, research, and scientific writing skills Proficiency in Python for modeling and machine learning applications Effective communication, teamwork, and presentation abilities Self-motivated
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, presentations, and draft manuscripts. Proficiency in hard skills, such as implementing and evaluating algorithms in Python, and maintaining reproducible experimentation. Competent in soft skills, such as problem
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
publication record in biomolecular modeling and computational biophysics/chemistry. Programming skills (e.g., bash scripting, python, Fortran, C++ and CUDA), expertise in computational modeling (such as
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algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly for developing Windows desktop application software incorporating deep learning models Hold at least a
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. Profile sought: We are looking for a highly motivated postdoctoral researcher with a PhD in Neuroscience or a related field. Required skills: Proficiency in programming (Matlab, Python, and/or R); Autonomy
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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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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