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language (e.g., C++, Python), creative approach to solving work tasks, strong motivation for research and the ability to work both independently and within an international collaboration. Contract and
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relevant to modern data science (e.g., Bayesian or frequentist inference, information theory, uncertainty quantification, high-dimensional methods). Programming skills in Python and/or R, with evidence of
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(for example spike sorting, LFP analysis, population analyses) Strong quantitative skills and programming experience (MATLAB and or Python), including reproducible analysis workflows Familiarity with
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Description Primary Duties & Responsibilities: A background on our research can be found by reading some of our recent papers at https://sites.wustl.edu/aminlab/ . Following instructions and discussions with
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teams. - 20% Python Scripting: Uses Python to integrate, transform, and manipulate data from multiple internal and external data sources in support of analytics and reporting initiatives. Develops and
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 13 days ago
). Experience in machine learning methods, including data preprocessing, model selection, and performance evaluation. Familiarity with programming languages commonly used in these domains (e.g., Python, MATLAB
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experiment codebases (prefer Python). Apply causal inference and discovery frameworks to clinical questions. Translate proposed methods and frameworks into real-world clinical workflows. Contribute to grant
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stypendystów Projektu w ramach Działania 2.2. First TEAM (FENG 2021-2027) Fundacji na rzecz Nauki Polskiej” (https://www.fnp.org.pl/component/fnp_programs/program/first-team-feng/n… ) Institution: Wrocław
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skills in Python, or other programming languages Independent and structured way of working Very good command of English Our Offer: We work on some of the most pressing challenges of the energy transition
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at: https://www.muoniverse.ch/ Who we are looking for Muoniverse positions often serve as bridges between individual research groups and institutions, supported through dedicated measures. We