841 computer-programmer-"https:"-"https:"-"https:"-"Fraunhofer-Gesellschaft" Postdoctoral positions in United States
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year, with the possibility of renewal for a second year based on satisfactory progress as outlined in the scholar’s Individual Development Plan (IDP). The Computational Neuropsychology & Simulation (CNS
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to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
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computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part
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Employer https://main.hercjobs.org/jobs/22167044/post-doctoral-associate-in-the-division-of-engineering-x28-electrical-and-computer-engineering-x29-dr-qurrat-ul-ain-nadeem Return to Search Results
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. The candidate will lead computational analyses of these datasets, using the laboratory’s suite of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https
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to apply for a faculty or staff position, please review this tip sheet . The Department of Informatics and Health Data Science has an exciting opportunity for a full-time Postdoctoral Scholar to work on the
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in ORNL’s Center for Radiation Protection Knowledge (CRPK). The candidate will work with experts in computational radiation dosimetry and risk assessment. The candidate should be an independent thinker
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complexes Small gas-phase molecules and organic chiral compounds Compute accurate transition moments beyond the electric-dipole approximation and simulate x-ray observables, including x-ray absorption, x-ray
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, application components, or other program-related information, visit https://www.orau.gov/doe-fes-postdoc/default.html. All documents must be in English or include an official English translation. Documents sent
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physics (HEP) detectors, neuromorphic computing, FPGA/ASIC design, and machine learning for edge processing. The successful candidate will work with a multi-institutional and multi-disciplinary team