57 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of British Columbia
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from members of groups that have been marginalized on any grounds enumerated under the B.C. Human Rights Code, including sex, sexual orientation, gender identity or expression, racialization, disability
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and statistical analyses to quantify wildfire effects and pos-fire ecosystem recovery. The Faculty of Forestry (https://forestry.ubc.ca/ ) at UBC is one of the largest of its kind globally. Its award
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bioengineering, immunology, molecular biology and bioinformatics. The Kizhakkedathu lab (https://cbr.ubc.ca/our-people/investigators/jayachandran-kizhakkedathu/ ) develops novel polymers and biomaterials as
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experience in conducting applied research and using results to inform management or policy decisions. The Faculty of Forestry (https://forestry.ubc.ca/ ) at UBC is one of the largest of its kind globally. Its
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Association (http://www.hr.ubc.ca/faculty-relations/collective-agreements/ ). Eligibility: We are only considering applications from librarians with a maximum of 2 years of professional library experience
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pioneer at the interface of biology and technology, the Michael Smith Laboratories (MSL; https://www.msl.ubc.ca/ ) was one the first institutes in the world that recognized the power of scientists and
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on analysis plans and study design; coordinate consults with biostatisticians as needed. Provide analytic support and mentorship to trainees and collaborating sites; review code and outputs for accuracy and
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BRAIN Lab and Dr. Selvanathan’s research team (https://www.bcchr.ca/baby-brain-lab), the successful applicant will lead new projects on quantifying brain connectivity in children with neonatal hypoxic
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at University of British Columbia and BC Children’s Hospital. Working with the Baby BRAIN Lab and Dr. Selvanathan’s research team (https://www.bcchr.ca/baby-brain-lab), the successful applicant will lead new
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Python code to High-Performance Computing (HPC) clusters as part of effectively scaling AI/ML model inference. Knowledge and experience of using pre-trained LLMs is a bonus. Working knowledge of different