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in collaboration with Texas A&M College of Engineering, Texas A&M School of Medicine and the state’s top-ranked Houston Methodist Hospital offer an innovative medical school program called ENMED
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Researcher (R1) Application Deadline 6 May 2026 - 00:00 (UTC) Country Singapore Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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, procurement, and deployment of High-Performance Computing (HPC/GPU) clusters and high-capacity data storage infrastructures in strict compliance with Spanish and EU public procurement regulations. Data
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, and Arctic geosciences. The Centre is actively involved in the World Meteorological Organization (WMO) Polar Coupled Analysis and Prediction for Services (PCAPS) program. Through this engagement, MET
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Job Code 0005 Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job The successful applicant will assist in the adaptation of the PPMstar code to run well on GPU-accelerated
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA INDUSTRIALE | Italy | about 1 month ago
defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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conditions. This task will include the extension of recent work on model-order reduction applied to quantum circuits. The extension will cover quantum programs with loops and various noise effects. Task 3
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heterogeneous (CPU/GPU) computing models. Collaborate with physicists, computer scientists, mathematicians and engineers across LBNL divisions to define software requirements, implement robust solutions, and
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international journals or conferences. Experience in predictive modeling for forecasting or recommendation systems. Strong programming skills in Python and AI frameworks (PyTorch, TensorFlow), including GPU/cloud
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science or engineering field; a completed PhD is an advantage Very good knowledge of software development with C++ and Python, as well as experience in GPU programming (e.g., CUDA or comparable frameworks