28 component-labeling-cuda Fellowship research jobs at University of British Columbia
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workflows, biological sample collection, biobank management (labeling, storage, retrieval) Coordinating multi-laboratory analytical workflows and ensure method validation and documentation. Working with
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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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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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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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packages in one single PDF file, labelled ‘Faculty Name – Candidate Lastname, Firstname’ in the following order: Nomination Form Nomination Letter Nominee CV Support Letter 1 Support Letter 2 Once nominators
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. “With this competition, we are enabling applicants to provide information about what they have done that isn’t necessarily captured as part of traditional academic metrics.” It seeks applicants who engage
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Strategy. The Zukunftskolleg is an Institute for Advanced Study for early career postdoctoral researchers in the natural sciences, humanities and social sciences. It is a central component of the
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candidates taking part in the selection process. To confidentially request accommodations, please contact Dr. Jenny Auxier at jenny.auxier@ubc.ca. To learn more about UBC’s Centre for Workplace Accessibility
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-motivated and independent work skills Ability to work as part of a team. Preference will be given to applicants with intermediate or advanced computer skills in the following software packages: R, Stata
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to work as part of a team. Preference will be given to applicants with intermediate or advanced computer skills in the following software packages: R, Stata or SAS (quantitative data analysis software), MS