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disruption alters epithelial – immune interactions that contribute to hereditary cancers and pediatric malignancies (https://bcchr.ca/maxwell-lab). Key areas include: • Mechanisms of cell division fidelity
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that contribute to hereditary cancers and pediatric malignancies (https://bcchr.ca/maxwell-lab). Key areas include: • Mechanisms of cell division fidelity, spindle orientation, and cell polarity • Role of BRCA1 and
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University of British Columbia Department of Surgery | Northern British Columbia Fort Nelson, British Columbia | Canada | 3 months ago
Work Performed Projects will be tailored to the successful applicant's scientific interests and career goals. Current areas of research include: Engineering next-generation Tregs using synthetic
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fellow will join a team composed of data scientists, software engineers, and medical trainees. This position is anticipated to be partly funded through a Mitacs Elevate grant. Project Context SOZO
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scientists, engineers, MRI technologists, physicians, trainees, and research staff Performing other responsibilities, as required Qualifications Successful applicants will have: A PhD in engineering, physics
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encephalitis, and related neurological disorders. The project combines human induced pluripotent stem cell (hiPSC) technology, brain organoids, genome engineering, advanced imaging, systems immunology, and high
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supervising of trainees Providing other support as required by the research team The PDF will be supervised by Dr. Matthew Mitchell, who leads the Mitchell Multifunctional Landscape Lab (https
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found. The initial position is for 1 year, with possibility for renewal for an additional year upon satisfactory performance. Preferred Qualifications: Scientific : A PhD with expertise in a relevant
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satisfactory performance. Preferred Qualifications: Scientific : A PhD with expertise in a relevant discipline (landscape ecology, spatial ecology, agroecology, data science/data management) is required
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projects and deliverables May supervise undergraduate students working on the AI/ML projects QUALIFICATIONS PhD (or equivalent) in Machine Learning, Computer Science/Engineering, Biomedical Engineering, or