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: https://www.dropbox.com/scl/fi/ogp0biw4hs9fok3qqd0ni/Research-Scientist-1-JD.pdf?rlkey=v3u6zp7fey8devovmg10fq3hh&st=bntsjvjf&dl=0 REQUIRED: A Ph.D. in Computational Biology, Bioinformatics
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at undergraduate and master’s levels, primarily in data science, machine learning, and AI programming in Python, including lecturing, supervision of student projects, course development and examination. Scholarly
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criteria Knowledge of the functional renormalization group required. Python programming skills. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7010-ZIZJIN-002/Default.aspx Work
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Biomedical Engineering Department Website Link https://bme.engineering.arizona.ed Location Tucson Campus Address Tucson, AZ USA Position Highlights The Department of Biomedical Engineering at the University
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office duties. Proficient skills in Excel, PowerPoint, and Python are desired. https://www.purdue.edu/studentemployment/site/Policies/Compensation.php Employee Class Student Benefits Eligibility NO FLSA
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 7 hours ago
, execute, and interpret computational experiments to uncover cell-type–specific and pathway-level mechanisms driving disease risk, progression, and resilience. Full job description is available here: https
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/or Python Interest in regression, multilevel/hierarchical and/or Bayesian modeling Interest in translational clinical research and ability to work in an interdisciplinary team Excellent written and
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++, and Python. Experience with software design, development, debugging, testing, and maintenance in Linux-based environments. Experience using version control systems such as Git and collaborative
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reliability Computational Neuroscience Scientific communication Excellent command of English Experience in human data analysis (psychophysics and EEG/MEG specifically) Python Where to apply E-mail laura.dugue@u
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knowledge in life cycle analysis and programming software in Python German will be valued Specific Requirements Experience in sustainability, decarbonisation or circular economy. Analysis of carbon footprint