16 data "https:" "https:" "https:" "Inserm" Postdoctoral research jobs at McGill University
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) microscopy, FLIM, STED, lattice lightsheet microscopy, fluorescence correlation spectroscopy (FCS), image processing and analysis and spectral imaging. More information about the ABIF can be found at: http
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for further information on eligibility criteria: http://www.mcgill.ca/gps/postdocs/fellows/registration/eligibility . ** Any offer to non-Canadian citizens/non-permanent residents is contingent on the candidate
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the date on which their PhD was awarded, regardless of when they are hired. Be sure to refer to the following link for further information on eligibility criteria: http://www.mcgill.ca/gps/postdocs/fellows
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information on eligibility criteria: http://www.mcgill.ca/gps/postdocs/fellows/registration/eligibility . ** Any offer to non-Canadian citizens/non-permanent residents is contingent on the candidate obtaining a
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. Thrive in The Neuro’s open-science environment, fostering data sharing and interdisciplinary innovation. This position is covered by the AMURE Collective agreement. https://www.mcgill.ca/hr/files/hr
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postdoctoral fellows, including those who have gone on to university faculty appointments. For more information, please see Dr. Harley’s SAILS Lab website: https://mcgill.ca/sails-lab/ . Qualifications: Ph.D. in
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in Prof. Reza Salavati's lab, at Macdonald Campus, McGill University. Position Summary: The postdoc will contribute to the D2R (Data-to-Reality) applied research program aimed at developing novel data
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protection data in a cohort of over 10 000 dyads of young mothers and their children to investigate health factors associated with the continuity of child maltreatment across generations in Quebec, Canada. Job
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analysing individual interview data from older immigrants Participate in quantitative analysis of survey data Participate in conducting and evaluating pilot intervention in cooperation with community partners
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. Primary processing of single cell and spatial transcriptomics data, and more project-focused in-depth analysis. Integrate existing single cell and spatial transcriptomics datasets, use publicly available