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list of Fields PSUs can be found here: https://www.fields.utoronto.ca/about/sponsors . Current PhD students are asked to include their expected completion dates in their cover letter. Eligibility
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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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University of British Columbia Department of Surgery | Northern British Columbia Fort Nelson, British Columbia | Canada | about 2 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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to improving the care, treatment, and well-being of patients. The Department offers academic degrees at the bachelor’s (Bachelor of Medical Laboratory Science (BMLSc)) and graduate (MSc, PhD) levels with
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decision-making; Development of qualitative, quantitative, or mixed-method scenarios exploring future pathways for expansion of perennial agricultural features. Qualifications Required: PhD in a related
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, visiting trainees, and research assistants, including technical training and day-to-day guidance within research projects. Minimum Qualifications PhD (or equivalent) in neuroscience, immunology, stem cell
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Qualifications PhD in computer science, clinical informatics, statistics, or a closely related field, conferred within the past five years. Demonstrated experience in health data visualization, interactive
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of junior trainees (e.g. undergraduate, and graduate students involved with aspects of the project) Required Qualifications · PhD in molecular biology, translational research, genomics, bioinformatics
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graduate students involved with aspects of the project) Required Qualifications · PhD in molecular biology, translational research, genomics, bioinformatics, proteomics, cancer biology, reproductive
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, please visit: https://www.limbnetwork.com/home RESPONSIBILITIES Reporting to Dr. Anthony Cooper, the successful candidate will develop, validate, and deploy ML models to improve clinical decision-making