1,042 computational-physics-"https:"-"https:"-"https:"-"https:"-"Chalmers" Postdoctoral positions in United States
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healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
& Computation Section, Center for Nanophase Materials Sciences (CNMS), Physical Sciences Directorate (PSD) at ORNL and will be jointly supervised by Dr. P. Ganesh, Dr. Rama Vasudevan and Dr. Vitali Starchenko
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, United States of America [map ] Subject Area: Quantum Computing / Quantum Computing Appl Deadline: (posted 2026/01/20 05:00 AM UnitedKingdomTime, listed until 2026/06/29 04:59 AM UnitedKingdomTime) Position Description
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introduce innovative approaches for developing next-generation-quality physical genome maps for disease vectors. The candidate will characterize chromosomal rearrangements in the arboviral vector Aedes
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position in the Hasti Lab at the University of Central Florida (UCF), Orlando. The role involves advancing state-of-the-art, high-fidelity computational fluid dynamics simulations (CFD) for accurate
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programming, interfacing hardware, and developing machine-learning methods highly desirable. The researcher will join an Argonne funded project with interdisciplinary team of material scientists, computer
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promote the development of a laboratory program that will lead to independent funding. The scholar will be awarded salary, lab costs, and related expenses over two years.
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with eBeam, X-ray, and gamma radiation-treated blow flies. - Evaluate, select, and apply standard techniques of routine research; keep detailed records of data. - Use computers and laboratory
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form (fluorescence or CD or NMR or EPR, for example). Required License/Registration/Certification N/A Physical Requirements Active work at lab bench, move between lab rooms, push carts and carry flasks
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(but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. Experience in deep learning, machine learning and medical imaging processing Programming