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multimodal data (video, self-report, physiological sensors, automatic facial recognition software) that examines CER in multiple contrasting contexts. And (3) Advance educational theory and practice by
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for networking with lab members and learning about research, literature, and career development opportunities. Supervision Given May provide guidance to volunteers or new RAs in the lab who will help with fMRI
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The Kridel Lab at the Princess Margaret Cancer Centre (University Health Network, Toronto) is seeking a highly motivated Postdoctoral Fellow in Experimental Oncology. The successful candidate will
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researcher joining the DIALOG project becomes part of a vibrant international research network, collaborating across neuroscience, psychiatry, linguistics, and computational modeling. The position offers
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external collaborators. Keep abreast of any new technical developments in the field and new software packages. Qualifications: PhD in molecular biology, computational biology, health sciences or related
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, such as a familiarity with data analysis software (e.g., Python, IDL, MATLAB, FORTRAN) Prototype algorithms, validate outputs, and document methods clearly Qualified and interested applications are invited
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associated with collection, storage, retrieval and analysis of human samples in research Capable of maintaining confidentiality Proficiency in the use of standard software, as well as software specific
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 2 months ago
distinguished scientists and clinical partners, gain hands-on mentorship from the supervisor, and attend major conferences to showcase your findings and expand your professional network. This mentorship and
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overall financial state of the lab. Works within well defined guidelines and procedures, but exercises judgment in establishing priorities and carrying tasks through to completion; new or unusual problems
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development experience using Python, ROS2 and software engineering techniques. Extensive knowledge of ML, DL and RL tools, theory and applications. Before applying, please note that to work at McGill University