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the possibility of reasonably priced housing owned by NYU). Applications will be reviewed on a rolling basis beginning April 1, 2026. This position is based in New York and the selected candidate will be expected
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learning, transfer learning, and data fusion techniques to integrate heterogeneous omics datasets and clinical metadata. Conduct network-based analysis (gene regulatory networks, protein-protein interaction
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possible start date, based on the end date of the grant, is 09/10/2027. The successful candidates will be members of the Infectious Disease Modelling research group (https://www.maths.ox.ac.uk/groups
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state estimation and multi-target tracking algorithms (e.g., Kalman/particle filters, Gaussian mixture filters, random finite set methods, MCMC-based approaches) for SSA/SDA and aerospace applications
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Providence Research (PR) / Providence Health Care (PHC) by the start of the program in September. Postdocs supervised by faculty with appointments at UBC or SFU whose laboratories are based at PHC (e.g., St
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High Energy Physics Division, the successful candidate will contribute to the design, fabrication, and characterization of superconducting devices based on microstrip-coupled TES technology, with
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. The postdoctoral scholar will receive structured training and mentored experiences that prepare them for future roles in university-based research centers, government agencies, nonprofit organizations, and applied
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to the Electrification for Health Director Brady Seals: baseals@stanford.edu (link sends e-mail) by April 15, 2026. Does this position pay above the required minimum?: Yes. The expected base pay range for this position
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vary based on the position and may include: Medical, prescription drug, and dental coverage Paid vacation, holidays, and various leave programs Competitive retirement benefits, including defined
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). This domain adaptation is crucial to ensure the generalization of the model to different types of sensors and environmental conditions. This aspect could notably be addressed by implementing graph-based