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employing computational modeling, advanced statistical and quantitative methods, multimodal neuroimaging, machine learning, artificial intelligence, or related approaches are encouraged to apply
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recognize that artificial intelligence and machine learning are changing all aspects of neuroscience from analysis of neural activity to network modeling to imaging to bioinformatics to molecular modeling
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characterization equipment are needed; • Strong skills in relevant technical software, such as Cadence, SPICE , Verilog, etc. are needed; • Background knowledge in neural network algorithms preferred, but
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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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proposed a strategy to train a neural network to infer high-resolution IPLSs from experimental MRT and RFD data, which when use as an input to the model reproduce experimental replication profiles with
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analysis using tools such as NetworkX Graph‑based ML or graph neural networks (GNNs) is a plus Experience with modeling and simulation techniques, such as: Network, agent‑based, or discrete‑event simulation
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University of British Columbia - Department of Medicine | Northern British Columbia (Fort Nelson), British Columbia | Canada | 28 days ago
within an extensive interdisciplinary network of experts in neuroimmunology, stem cell biology, biomedical engineering, computational biology, artificial intelligence, and precision medicine across UBC
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potential, focusing on AI- based quantitative imaging of human hemodynamics, as well as neural network models of nonlinear ultrasound for imaging and quantitative tissue property estimation. The outcome of
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successful execution of R&D projects. Responsibilities include providing technical contributions as a software engineer for a wide range of projects involving machine learning (ML) and artificial
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research environment spanning the Computational Systems Biology group, the Finnish Centre for Artificial Intelligence (FCAI), and ELLIS Institute Finland. You will be supervised by Dr Julien Martinelli and