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skills. Ability to work independently and as part of a team. Excellent organizational skills and attention to detail. Ability to facilitate consensus in a team. Commitment to upholding quality standards
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desirable. Proficient in Python, R, and ML libraries such as PyTorch or TensorFlow. Strong communication and collaboration skills; ability to work independently and as part of a team. Willingness to respect
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Nature Careers | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | about 1 month ago
Optimized Tissue Culture and Single-Cell Omics Digital Composite Manufacturing Multi-Element Alloys Resistant to Hydrogen Graph based inverse reinforcement learning (IRL) framework for analyzing and
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empowered to thrive, contribute, and grow. Applications from equity-deserving groups are encouraged as part of our ongoing efforts to reflect the diversity of the communities we serve: EDI Framework
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species. This network is part of a larger trans-boundary collaboration between the Hakai Institute and the Pacific Northwest Crab Research Group (PCRG). The fellow will be encouraged to develop and test
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proteome and immunopeptidome analysis to establish innovative liquid biopsy testing and identify new targets for vaccines and immunotherapies. This is an exciting opportunity to be part of the Canadian
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is part of a broader research initiative encompassing fundamental studies of nonlinear quantum light–matter interactions leading to the realization of quantum photonic neural networks. The successful
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The Naveen Jindal Young Global Research Fellowship Programme is a prestigious, fully funded initiative that offers a unique one-year experience, comprising an eleven-month online component and a one
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-reviewed journals and presentations at scientific conferences is required. Ability to work independently, as well as part of large multidisciplinary teams with collaborators is desirable. The expected salary
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structure for integration into cardiac catheters. Conduct finite element analysis (FEA) to simulate force/strain responses under clinical conditions. Assist in the setup and execution of in-vitro and in-vivo