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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
machine learning and/or biomedical image processing. The ACM Lab is developing software to support AI-driven techniques to rapidly diagnose, track, and treat neurodisorders. The ideal candidate will have a
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 2 months ago
). Label-driven / weakly-supervised CNNs for multimodal deformable registration (arXiv / MICCAI threads) — key papers showing deep learning approaches for fast, deformable registration. https://doi.org
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Location: Atomic and Laser Physics, Department of Physics, Clarendon Laboratory Building, Parks Road, Oxford, OX1 3PU An exciting opportunity has arisen for a Postdoctoral Research Assistant in
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 2 months ago
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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representation learning. You have strong programming skills, especially in Python, and preferably experience with PyTorch. You have a track record of publishing in top image processing / computer vision journals
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mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time-lapse data Proven programming expertise in
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CORE A*/A conference paper. We invite applications for a postdoctoral position focused on the development of predictive models for clinical outcomes following Deep Brain Stimulation (DBS) in Parkinson’s
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, or a related field. Proven experience in machine learning, deep learning, generative AI and data mining. Strong programming skills (e.g., Python, R, MATLAB, or similar). Experience with data
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Veterinary Medicine ● Variant discovery and genome annotation: Apply deep learning and graph-based models to improve variant calling, transcriptome annotation, and functional prediction in veterinary-relevant
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of postdoctoral research experience and demonstrate capabilities to work independently, to establish and lead the research group. Enrich ongoing work at VU and FTMC laboratories via international cooperation and