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Sklodowska-Curie Doctoral Network linking 21 academic, cultural, and industrial partners to develop advanced nondestructive evaluation and data-driven digital tools for paintings and 3D artworks
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microbiome, host genetics, and addiction vulnerability. The postdoctoral fellow will lead the development of cutting-edge, explainable graph neural network (GNN) models that integrate microbiome
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leading international venues, and complete your doctoral thesis in the Aalto Doctoral Programme in Electrical Engineering Contribute to teaching duties as part of your doctoral studies Your Network
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learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job Summary The Department of Psychology in the
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Associate Professor Harri Lähdesmäki. The position offers a broad local research network in Bayesian machine learning and computational biology. Your network and team Dr Martinelli is an independent
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to start imminently, and before mid October this year. The project intended for the post-doc is part of a collaboration within my group on the Google Willow Chip project (https://www.bbc.co.uk/news
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management systems (e.g., Snakemake). Experience or knowledge of artificial intelligence, such as implementing neural network models, is advantageous, and ideally, ML/AI frameworks such as PyTorch. Strong
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Yale University School of Medicine - Department of Neuroscience | New Haven, Connecticut | United States | 19 days ago
are changing all aspects of neuroscience from analysis of neural activity to network modeling to imaging to bioinformatics to molecular modeling. We are enthusiastic about candidates using computational
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NTNU Norwegian University of Science and Technology | Trondheim, Sor-Trondelag | Norway | 19 days ago
Implicit Neural Representation (INR), a class of neural networks, for reconstructing MR images directly from MR signals. By incorporating a physical model of the MR signal into the training of the INR
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the differential geometric structure of deformable objects into novel continuum physics-inspired neural representations, serving as the bedrock of a physically-grounded manipulation pipeline