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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 17 hours ago
research teams QUALIFICATIONS Successful applicants will have: A doctorate degree in a relevant discipline (i.e., Statistics, Biostatistics, Epidemiology, Public Health or a related field) A strong research
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search using vacancy reference B02-09130. About you You will have a PhD in Computational Biology, Applied Mathematics, Statistics, Biostatistics, Epidemiology, Bioinformatics, Computer Science
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 20 hours ago
a dynamic and interdisciplinary team, collaborating with experts in frailty, aging, cardiovascular rehabilitation, and biostatistics. The role will emphasize innovative approaches to frailty
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funding Collaborating with other research teams QUALIFICATIONS Successful applicants will have: A doctorate degree in a relevant discipline (i.e., Statistics, Biostatistics, Epidemiology, Public Health or a
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* Contribute to the supervision of PhD students and junior researchers Your Profile: * PhD in Bioinformatics, Computational Biology, Systems Biology, Biostatistics, or a related field – (Doctoral degree should
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education? Apply today! War Eagle! Minimum Qualifications Minimum Qualifications Level I: Ph.D. degree in bioinformatics, biostatistics, computational biology, computer science, genetics/genomics, or other
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collaboration with ITS 8.) Other duties as assigned Required Qualifications 1) Ph.D. in Data Science, Computer Science Experimental Psychology, Statistics or Biostatistics and a refereed publication record. 2
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. The candidate's doctoral degree should be in biological psychology, medicine, biomedicine, biostatistics, neuroscience, cognitive science, or a related field. The successful candidate must be able to independently
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Medicine (SPHPM) is one of the largest public health schools in the Asia Pacific region, with a global reputation for excellence in epidemiology, biostatistics, clinical trials, health systems, and
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Language Model (LLM) Strong biostatistics knowledge including survival analysis and causal inference Experience with reinforcement learning, agentic AI systems and autonomous decision-making frameworks Data