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the resource constraints of the future electronics readout system. Collaborate closely with researchers at McGill (in both the Departments of Physics and in Computer and Electrical Engineering) and partners
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Nature Careers | Northern British Columbia Fort Nelson, British Columbia | Canada | about 1 month ago
to: Develop an internationally recognized research program in mathematical and computational modelling in cell biology, biomechanics and/or physiology. Provide mentorship to postdoctoral fellows and graduate
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a full-time Postdoctoral Research Fellow to collaborate with various researchers, clinicians and imaging experts from UBC, the BC Cancer Research Institute, and our international institutional and
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related field. Proficiency in one or more of the following: in vivo electrophysiology, two-photon imaging, animal surgery, behavioral design, programming languages (Python/MATLAB), and data analysis
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. - Must be registered as a Postdoctoral Fellow with McGill University. Field of Study: Neuroscience, Molecular biology, Physics Required Skills • Excellent French and English, spoken and written
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. Creating and refining algorithms for data reduction, calibration, RFI flagging, re-gridding, and imaging. Building and maintaining pipelines for automated data processing, from raw data to final science
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actively participate in the operation of renowned institutions. In this capacity, you will be expected to: Develop and pursue an innovative research program in neuroscience, leveraging state-of-the-art
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interpreting experiments related to EHT using in vivo, in vitro and informatics approaches. Managing transgenic mice strains, harvesting and analyzing mouse tissues using molecular biology techniques, performing
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the field. Students will engage with industry partners, and work through a process that results in a functional prototype. The resulting designs are assessed on their engineering quality and design
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. Prior experience in at least one of the following is a requirement: physiologically based pharmacokinetic (PBPK) modeling, computational oncology/biology, kinetic modeling, advanced image processing