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-for-year basis may be substituted Skills: Listening, verbal and written communication, analytical, and research skills Statistical, graphical analysis, and/or computer programming skills (MATLAB, Python
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qualifications Preferred candidates will have experience with programming tools (UNIX, bash, MATLAB/Python programming), a strong college math background (linear algebra) and/or statistics, and previous research
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related area is required. Experience: Demonstrated experience in strong optimization computational skills, proficiency in one of the programming languages R, Matlab, and Python, and expertise in high
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; programming experience (e.g. Matlab, R, Python, or C++); experience with biomedical and dynamic systems models and advanced biomedical signal analysis; affinity to the clinical application of neurotechnology; a
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and to evaluate public policies. The incumbent will perform data analysis using statistical packages such as Stata or Python and perform numerical simulations using languages such as Matlab. Will
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to the investigatory activities of the laboratory. Writes simulation software in Python and C++ for protein structure simulations and use of Artificial Intelligence (AI) driven prediction tools. Generates and analyzes
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University of California San Francisco | San Francisco, California | United States | about 2 months ago
to ten years of research experience. Prior experience with electrophysiological and/or brain imaging data collection and/or processing. Experience and/or training in programming (e.g., Matlab, Python, etc
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program at UPM and in the time of the contract will be registered for the TFG. The applicant's academic record, knowledge of electronic devices , software and Matlab/Python programming will be taken
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skills experience with Matlab, Stata, R or Python; A high level of intellectual curiosity, analytical rigor, and a strong commitment to policy-relevant research. LanguagesENGLISHLevelExcellent Additional
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scientific programming using Python and MATLAB, including experience with machine learning and data science libraries such as PyTorch, MONAI, TensorFlow, Scikit-learn, and related tools for 3D medical image