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their publications Experience programming GPUs with CUDA, SYCL, HIP or OpenMP Experience using and developing code with AMReX Experience in performance engineering to improve code scalability and reduce time-to
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Python, ML, and AI for chemical applications Preferred: Familiarity with HPC systems Proven track record of research in ML/AI for chemistry Strong coding foundation (Python) Knowledge of C++ and CUDA
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an interdisciplinary approach that integrates mitochondrial patch-clamp electrophysiology, advanced live-cell and label-free imaging, structural biology (cryo-electron tomography and cross-linking mass spectrometry
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Position Description Brookhaven National Laboratory is committed to employee success, and we believe that a comprehensive employee benefits program is an important and meaningful part of
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imaging in postmortem brain samples from different etiological forms of Alzheimer’s disease (AD) and frontotemporal dementia (FTD) involving tauopathy (e.g., primary tauopathies). This position is a part of
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experimental biological work (cell culture, microscopy, transfection, labeling, or other molecular biology methods). Are able to design, optimise, and troubleshoot experimental protocols. Are comfortable in
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manipulation and harmonization of large U.S. branded food databases, including application of AI tools for nutrient attribute coding, ingredient extraction, and large-scale dataset harmonization; Leading
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seeking a highly motivated Postdoctoral Researcher to join the Machine Learning cluster. The position is part of a research project investigating how visual foundation models can efficiently acquire new
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The Leiden Institute of Advanced Computer Science (LIACS) at Leiden University is seeking a highly motivated Postdoctoral Researcher to join the Machine Learning cluster. The position is part of a
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structural biology (cryoEM), proximity labeling (TurboID), phosphoproteomics, and mouse models (including bGHTg acromegaly mice and breast cancer xenografts), we aim to uncover fundamental mechanisms of IGF1R