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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
(Python, R, or equivalent). Experience with machine learning, multi-omics data analysis, cancer genomics, immunogenomics, or systems biology of transcriptional regulation is highly desirable. Position 2
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- python programming Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8214-SANLEV-038/Default.aspx Work Location(s) Number of offers available1Company/InstituteInstitut des Sciences
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analysis. Background in statistical or physical models of proteins (e.g., Potts models, energy landscapes, coevolution). Strong background in biophysics. Programming skills in Python, R, C++. Experience
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Vision, or a related field. Proven experience in photogrammetry, image-based 3D reconstruction, and cultural heritage digitization. Solid programming skills (e.g., Python, C++) and familiarity with
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associated with the NYB. Funding is provided by the New York State Department of Environmental Conservation (NYS DEC). More information about the New York Bight Indicators project can be found here: https
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, brings together around 300 people and is one of the leading centers for fundamental research in biology in the Paris region. The host team (https://www.ijm.fr/recherche/duharcourt-lab-vf/ ) is particularly
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Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Working Conditions: This position works in
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have expertise with at least one programming language used for research (e.g. Python, C++, C, Matlab, R, Java, Javascript, Fortran, Julia) and conversant with at least one more. Strong analytical and
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 1 month ago
, R, Python Must be able to work in a team environment and interact with diverse stakeholders Strong communication skills (both written and verbal), including strong listening skills Strong
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) • Big data pipelines, distributed computing, and geospatial data processing • Python, R, SQL/NoSQL, containerization (Docker), Kubernetes • API development and web-based analytics tools • Systems