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Koziarski Lab - The Hospital for Sick Children | Central Toronto Roselawn, Ontario | Canada | 4 days ago
program at The Hospital for Sick Children, University of Toronto, and the Vector Institute. Our research group focuses on developing machine learning-based pipelines that leverage generative models and
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Fellow in Spatiotemporal Ecological Modelling Department Research Support | Auger-Méthé Lab | Department of Statistics | Faculty
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Computational Pathology, Medical Imaging, and Clinical Text Analysis Department Bashashati
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include modeling of bulk and single-cell transcriptomic profiles, integrative multi-omics analysis, and the fusion of molecular data with clinical and imaging features. Organizational Status The successful
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 13 hours ago
Offer Starting Date 1 Nov 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number EU-58786 Is the Job related to staff position within a Research
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Energy Modelling and Simulation. The Dworkin group focuses primarily on numerical modelling, but also performs some experiments as needed for certain projects. The group currently has 2 Postdoctoral
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collaboration with laboratories computational biologists. Lead independent research projects and contribute to collaborative efforts within the lab. Present findings in manuscripts, conferences, and funding
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) modeling platforms, mass-spectrometry, next-generation sequencing, flow cytometry, imaging and computing infrastructure. More information on the Lange Laboratory can be found at https://langelab.med.ubc.ca
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the acquired data, and prepare a report; c) Prepare a CFD model of a boiler burner for combustion analysis, apply reacting flow models, perform computation, study propensity to flash-back, calculate noise
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to develop data-driven, space-time explicit precision agronomic solutions Utilizing high-performance computing (HPC) systems for large-scale geospatial data processing, model training, and validation Designing