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Position: The University of British Columbia (UBC) and BC Cancer Research Institute (BCCRI) are seeking a talented post-doctoral fellow to join us in Vancouver, BC, Canada. The research will
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guidelines at UiT. At our website, you will find more information for applicants . Remuneration for the position of PhD Fellow is in accordance with the State salary scale code 1017. A compulsory contribution
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years. For additional information on life in Indy: https://faculty.medicine.iu.edu/relocation Basic Qualifications Doctorate or terminal degree required. Applicants must hold a bachelor or PhD (or MD
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models (LLMs) Experience with genomic data analysis, including variant interpretation or population genetics Proficiency in statistical analysis and interpretation of complex biological datasets
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Based in the Faculty of Engineering at the University of Nottingham, this role will focus on electromagnetic design, modelling and validation of microwave heating technologies for the BioIron
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civil engineering and will focus on nondestructive evaluation, wave field modeling, and AI for the smart maintenance of civil infrastructure systems. The position is also aimed to assist the development
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PhD in Economics is a desirable criterion, we will consider candidates currently completing a PhD in Economics or a related field (such as Statistics or Applied Data Science) and who have a strong
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 2 months ago
Position Information General Information Position Number STMP18 Working Title Postdoctoral Fellow - Bioinformatics (Temp) Division Academic Affairs Department Coll of Computing&Informatics (Col
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Position Details Position Information Internal Posting? Posting Number SP004832P Position Title Postdoctoral Fellow, Energy-Water Systems Characterization and Modeling Division/College University
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clinically validate innovative predictive models utilizing AI and machine learning; test cadaveric anatomy study implementation Complete Data collection and finalize evaluation of AI predictive models