13 programming-languages-"the"-"CNRS"-"U"-"UCL"-"O.P"-"FEMTO-ST"-"Prof" Fellowship positions in Canada
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, or a closely related field, with a strong record of research productivity. The ideal candidate will have expertise in reinforcement learning, optimal control, vision-language models, or Bayesian
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Laboratory Science (BMLSc)) and graduate (MSc, PhD) levels with the graduate program, one of the largest in the Faculty of Medicine, which has been recognized by UBC for its quality. The Department plays a
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of crime prevention and community safety, the law and justice systems, and correctional populations, programs and practices. The Postdoctoral Fellow will be expected to lead a program of research
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care. Our 750+ faculty members across the province have an impressive record of research and discovery. Research and innovation initiatives include programs related to prevention of emergencies
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: One of the National Research Council’s 12 research centres located across Canada Classification: RO Tenure: Term Duration: 2 years with the possibility of extension Language Requirements: Various
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data. Proficiency in ML frameworks (experience with LLavaMed, EchoPrime and DNABERT considered an asset) and programming languages such as Python or R. Experience working with medical imaging or genomic
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The University of Konstanz is one of eleven Universities of Excellence in Germany. Since 2007 it has been successful in the German Excellence Initiative and its follow-up programme, the Excellence
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to develop deep learning models for analyzing whole-slide histopathology images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data
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applications for a one-year Postdoctoral Fellow (with possibility of extension) to support an occupational hygiene research program in exposure and risk assessment under the supervision of Professor Hugh W
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, Biostatistics, or related fields Extensive experience with spatiotemporal models Exceptional programming proficiency in languages such as R or Python. Previous experience analyzing ecological or similar data