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close to completion of a PhD in a related technical or scientific discipline. Preference will be given to applications submitted by candidates within five years of receiving their PhD. In particular
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Sciences Master of Health Administration (MHA) MS in Biostatistics MS in Global Health & Sustainable Development Doctoral Degrees: PhD in Biostatistics PhD in Epidemiology PhD in Health Policy and Management
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University of Northern British Columbia | Prince George North, British Columbia | Canada | 2 months ago
The successful candidate should hold a PhD or equivalent degree or expect to receive one before July 1, 2026. The position typically requires a PhD obtained in 2023 or later; however, if your PhD was obtained
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will be given preference. Applicants without a veterinary degree but with a PhD conferred prior to the fellowship start date are also encouraged to apply. ABOUT THE CORNELL K. LISA YANG CENTER
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contribute to the overall development of the team and project. Additional responsibilities include supporting team operations and taking on related tasks as needed. Job Requirements: Preferably PhD in computer
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for collaboration. About You The candidate must have obtained a PhD degree within 3 years and in the areas of digital healthcare, healthcare management, information systems, or other related areas; Excellent oral and
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management of research projects and deliverables Qualifications The successful applicant will have: PhD in a relevant field (e.g., exercise science, physiotherapy, rehabilitation, behaviour change, public
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composed of three full members and one alternate (all PhDs): Miguel Reimão Lopes da Costa (Presidente) (Professor auxiliar; Faculdade de Ciências e Tecnologia); João Pedro Pereira da Costa Bernardes (1º
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the Silver lab at Harvard Medical School in Boston Massachusetts. The work of the Silver ab is focused on engineering biological systems for health and sustainability. We welcome applications from recent PhD
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/index.html The researcher will be part of a growing team of researchers, postdocs and PhD students working on intelligent observing systems using machine learning and data assimilation methods in the ACTIVATE