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The CLIR Postdoctoral Fellowship Program offers recent Ph.D. graduates the chance to develop research tools, resources, and services while exploring new career opportunities. CLIR Postdoctoral
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The Data Sciences Institute (DSI) is a central hub and incubator for data science research, training, and partnerships at the University of Toronto. Its goal is to accelerate the impact of data
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or psychological interventions for patients with vulvar and sexual health concerns or (2) conduct a sexual psychophysiology study using blood flow imaging technology. As part of Dr. Bouchard’s lab, the Fellow will
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to prevent pediatric mortality and morbidity, enabled through digital health technologies in Africa (Kenya, Uganda + more). The Trainee will be working on a program with over 15+ years (Smart Discharges
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international scientists, clinicians, and public health researchers to make meaningful impacts to cancer detection, diagnosis, and treatment. Qualifications and Experience PhD in Bioinformatics, Computational
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the laboratory Assist in the management of laboratory resources and maintenance of research protocols Qualifications/Requirements of Position Qualifications: PhD in Biological Sciences or a related field, with 0-5
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, or forest management. Project Overview The postdoc will contribute to the Silva21 research program, which aims to develop innovative strategies to enhance the resilience of Canadian forests in the face of
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contributing to ongoing work to advance the lab. Education: PhD completed within the last 5 years. Preferably within the field of nutrition or public health nutrition. Experience: The selected candidate should
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University of Alberta, Mathematical and Statistical Sciences Position ID: UAlberta -PDF [#26484] Position Title: Position Type: Postdoctoral Position Location: Edmonton, Alberta T6G 2G1, Canada
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 13 days ago
. Eric Rapaport and his team are now seeking applications for a two-year Postdoctoral Fellowship in a research program called A data-driven geospatial planning tool: understanding cumulative climate risks