14 phd-data-maining "Computer Vision Center" Postdoctoral positions at McGill University
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an initial one-year appointment and potential for renewal. This Postdoctoral fellow position is part of the CIHR funded Zika virus (ZIKV) Individual Participant Data (IPD) Meta-analyses (MA) Phase II and the
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harmonize different data streams. Lead and co-author manuscripts, reports, and presentations. Collaborate with interdisciplinary and international research partners. Qualifications PhD (completed or near
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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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are: Create favourable circumstances for the development of a field of research and a community of research on access to justice for OLMCs Produce scientific data for and with the access to justice stakeholders
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therapeutic strategies to promote these beneficial immune states. Position Overview The Postdoctoral Fellow will lead multi-omic data generation, integration, and analysis to dissect immune–tumour interactions
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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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of junior students - Writing papers - Composing and writing research proposals - Speaking at international conferences Qualifications: PhD in Chemistry Before applying, please note that to work at McGill
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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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: Writing and testing of code. Planning of research & discussing research with collaborators. Writing papers, and giving presentations. Qualifications: PhD in Chemistry Before applying, please note that to
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workflows. Qualifications PhD in Computational Biology, Genomics, Biomedical Engineering, Neurosciences, or related fields. Proven expertise in single-cell or spatial transcriptomic/proteomic data analysis