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Field
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hands-on experience in areas such as computer vision, deep learning, multi-modal sensing, robotics, structural health monitoring, or digital twin technologies. (Fresh PhD graduates are welcome
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of start date) Key Qualifications Experience with deep learning frameworks, especially PyTorch, and with high-performance computing environments Experience with multi-GPU training and distributed computing
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Learning for Medical Imaging and Multi-Modal Data in Cancer Research Apply for this job See advertisement About the position Position as PhD Research Fellow in Deep Learning available at the Department
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Research Framework Programme? Not funded by a EU programme Reference Number EU-59005 Is the Job related to staff position within a Research Infrastructure? No Offer Description AI and Deep Learning
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industry. Job Title Postdoctoral Fellow – College of Computing Job Description The Data Intelligence Group at UM6P-CC is seeking two postdoctoral fellows in machine learning who will support the group’s
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 2 months ago
background in reinforcement learning, diffusion models, and geometric deep learning. 3. Candidates with experience working with antibody (or other molecule or material) design will be considered a significant
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1st March 2026 Languages English English English Two Postdoctoral Research Fellows in ERC-funded Hashtag-wars project Apply for this job See advertisement Two postdoctoral positions available: Chr
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McLellan, the Postdoctoral Research Fellow supports high-quality, clinical and applied research projects within the Lifespan Health and Wellbeing Research Centre and School of Psychological Sciences
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. We are seeking a qualified Postdoctoral Research Fellow to join a team with international reputation for producing high quality research outcomes in the area of Inertial Confinement Fusion
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experiments in humans Intracranial measurements of single neuron activity and/or local field potentials Experience with analysis of time-series of electrophysiological data Deep learning frameworks (e.g