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experience in nuclear, mechanical, or chemical engineering, engineering physics, or related field completed within the last 5 years. Experience with Python, C, and/or C++ applied programming
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for tomography, laminography, or a closely related modality. Strong scientific programming in Python and experience with GPU processing of large-scale datasets. Excellent written and oral
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
nuclear or particle physics, evidenced by publications. Proficiency in numerical methods and scientific programming (e.g., C++ and/or Python) in a high-performance computing environment. Ability to carry
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Biotech Research and Innovation Centre, The Lund Group, University of Copenhagen | Denmark | about 1 month ago
project is conducted in collaboration with the deep probabilistic programming group of Thomas Hamelryck: https://di.ku.dk/english/research/groups/machine-learning-in-biology/?pure=en/persons/271052
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, Machine Learning, Medical AI, Biomedical Informatics, Computational Biology, or a related field Strong programming skills in Python and modern ML frameworks Experience with deep learning and large
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publications, reports and presentations. 4. Excellent programming skills in Python, Julia, C++ or a comparable scientific-computing language, with evidence of producing reliable research code. 5
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Postdoctoral Research Associate - Gibson (Cell & Molecular Biology) and Skiniotis (Structural Biolog
cleaning, glow discharge) Dedicated GPU workstations and clusters with institutional data infrastructure for high-throughput image processing Embedded staff scientists who provide consultation, hands
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methodologies Excellent programming skills in Python and familiarity with modern ML tooling and reproducible research practices Experience training and deploying machine-learning models on GPU-based systems
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agents and new environments to be tested quickly. Resources include HPC clusters, GPU/CPU nodes, cloud compute, EEG, fMRI, and eye-tracking. The lab is building a shared computational core of models
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University of California, Los Angeles | Los Angeles, California | United States | about 10 hours ago
Science, Biomedical Engineering, or a closely related quantitative field is required. Additional qualifications The candidate must have strong programming experience in Python and/or R. The candidate