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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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, awarding two prestigious post-doctoral fellowship awards (MD/PhD) valued at $30,000 each. These awards aim to support the next generation of experts in neurovascular medicine in Canada, advancing sex- and
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intersectional social positionalities (e.g., ability, age, ethnicity, gender, race, religion, and sexual orientation, for example). The successful candidate for the position will have: • A PhD completed
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 13 days ago
samples, including serum/plasma and whole blood, and work with databases containing clinical information. Key research techniques will include next-generation sequencing, droplet digital PCR, and Luminex
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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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recipient. PDFs are entitled to benefits paid by the faculty colleague(s), PSAC 901, Unit 2 Collective Agreement . The PhD must be complete at the start of the postdoctoral position. Applications for 2025
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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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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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& Evidence: Investigating applied policy and programming questions to strengthen pandemic prevention, such as early warning systems, crisis data infrastructure, and overlooked drivers of vulnerability
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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