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d) excellent written, oral communication skills e) strong data analysis skills. Ideal applicants will also have experience with some combination of: a) Machine learning e) code optimization and
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Regular/Temporary Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job 15% Design experiments related to influenza and/or innate immunity 55% Execute
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, neural engineering, and data analytics. Among the key duties of this position are the following: Collecting behavioral and electrophysiological data in the clinical environment. Writing replicable code
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learning algorithms on graphs to model, characterize, predict, and design the thermal and physical behaviors of diverse material systems. Responsibilities also include the development of software codes
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(or most) of your code may be open source and may be added to your public CV, depending on the needs of researchers. Fixed-term contract until 29.2.2028. All other standard benefits of Aalto as an employer
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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 368565 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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funded by the National Science Foundation. The position is focused on performance analysis and optimization of the MILC code and the libraries it calls such as QUDA or Grid. The successful applicant can
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Previous Job Job Title Part-Time Post-Doctoral Associate Next Job Apply for Job Job ID 368577 Location Twin Cities Job Family Academic Full/Part Time Part-Time Regular/Temporary Regular Job Code
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
or deploying research models * Familiarity with version control (e.g., Git), documentation of code and data workflows, and reproducible research practices * Experience identifying and troubleshooting data
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expected to commit to ORNL's Research Code of Conduct. Our full code of conduct and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity . Basic