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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
, robustness, calibration, bias/fairness, and/or adversarial stress-testing. - Solid programming and ML/NLP engineering skills in Python and ideally modern deep-learning stacks (e.g., PyTorch/JAX, HuggingFace
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R250140 Posting Link https://www.ubjobs.buffalo.edu/postings/59063 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting Detail Information
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Master’s degree, if applying for the Research Associate rank. A strong background in mathematics and programming (e.g., Python or MATLAB). A strong publication track record. Excellent analytical and research
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Labor Relations website at https://hr.uw.edu/labor. Qualifications University of Washington postdoctoral scholar appointments are for a temporary, defined period not to exceed five years/60 months
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students. More information about the Larsson group can be found at https://larsson-research.de/ . Some relevant publications are: Wahyutama, Larsson, J. Chem. Theory Comput., 2024, https://doi.org/10.1021
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materials in extreme conditions. https://gaelgrissonnanche.com/ Key Responsibilities Engineer Novel Thermometers: Design and nanofabricate innovative thin-film thermometers in cleanroom. Perform High
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concurrently and meet deadlines. 5. Demonstrated proficiency in Python and willingness to contribute to open source. 6. Ph.D. Degree must be defended and completed by the start date of the position, which is no
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and verbal communication skills in English Strong analytical skills with experience using R, Python or similar language Ability to work cooperatively within a multi- and interdisciplinary research team
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following: Electronic structure/dynamics, tensor network states, multireference electronic structure, relativistic electronic structure. More information about the Larsson group can be found at https
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within an interactive research group consisting of Cornell and agency scientist. Specifically, the individual will: 1) Analyze acoustic data with existing software (Echoview, R, Python). 2) Collaborate