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private grant-making foundation. This prestigious fellowship will be awarded to an incoming PhD student in the Faculty of Forestry whose intended studies fit within one of the following areas of excellence
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• PhD in a relevant field • Demonstrated ability to thrive in a collaborative team environment • High personal motivation, self-management, detail-orientated; ability to take responsibility
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requires a high level of judgment, scientific initiative, and technical skill in geospatial data processing, as well as the ability to manage multiple deadlines and prioritize tasks. The successful candidate
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are available immediately and intended for early-career scientists with an advanced degree (PhD). The selected fellow(s) will join the research group of a Principal Investigator through a TQT-funded project, and
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) are not counted towards work experience in determination of eligibility. Doctoral students who do not hold a master's degree (i.e., proceeded directly from Bachelor's to PhD, or have "fast-tracked
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-month on-campus residency at O.P. Jindal Global University (JGU), India. The fellowship is open to exceptional PhD students and faculty members from leading universities worldwide, providing them with
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reviewing research products such as interview guides, coding frameworks, and knowledge translation materials. Education/Work Experience: The candidate must have completed a PhD within 5 years in a relevant
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at research hospitals (eg. Study nurse, data collectors), and students. QUALIFICATIONS • PhD in a relevant field • Demonstrated ability to thrive in a collaborative team environment • High personal
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such as interview guides, coding frameworks, and knowledge translation materials. Education/Work Experience: The candidate must have completed a PhD within 5 years in a relevant discipline (e.g. public
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, engineers, computer scientists, nuclear medicine physicians, …) towards the overall aim of enabling translational and physician-in-the-loop AI for medical imaging. Our research team is multicultural and