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Lunenfeld-Tanenbaum Research Institute | Central Toronto Roselawn, Ontario | Canada | about 7 hours ago
aligned with their backgrounds and research topics. 3. Education and Experience Requirements Candidates must hold a PhD and/or MD degree or equivalent doctoral degree, with postdoctoral experience and an
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. REQUIREMENTS AND QUALIFICATIONS Candidates must have earned a PhD degree in Chemistry or a related area by the time of appointment, or shortly thereafter, with a demonstrated record of excellence in research and
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The successful candidate will have: PhD in Earth Sciences or a closely related field, completed by the time of appointment; Research focus including igneous and/or metamorphic processes; Evidence of excellence in
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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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have earned a PhD degree in History or a closely related field by the date of appointment or shortly thereafter, with a demonstrated record of excellence in research and teaching in South Asian history
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: The Research Associate will play a central role in the scientific and operational life of the laboratory. This is a senior research position that combines laboratory management responsibilities with
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ideally work experience in, conducting collaborative, interdisciplinary research This postdoctoral fellow will be supervised by Juliet Lu and Hannah Wittman in the Faculty of Forestry and Environmental
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therapeutics for autoimmune neurological diseases. Work Performed The successful candidate will: Design and lead innovative research projects investigating mechanisms of neuroinflammation and neurodegeneration
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anticipated start date for the position is July 1, 2027, or a mutually agreed upon date. We are inviting applications from candidates with expertise in capital markets or behavioural accounting research
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research to explore topics such as: How do environmental scientists design studies or experiments to answer specific questions? How do we characterize the limitations of the data we have and work within