81 data-"https:" "https:" "https:" "https:" "AALTO UNIVERSITY" research jobs at McGill University
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–associated disease, and myasthenia gravis. Support the collection and documentation of clinical information and biological samples, and ensure that activities are carried out in accordance with established
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-pluripotent stem cells (iPSC), perform immunofluorescence experiments, and help with the analysis of scRNAseq data. They will perform differentiation protocols for generation of microglia and microglia-organoid
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(https://tsi.mcgill.ca/index.php?page=faculty ). Research topics include (but are not limited to) astrophysics, cosmology, astrobiology, geophysics, life in extreme environments, and the search
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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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protocols Assist with participant recruitment Execute research procedures, including data collection, through interviews, and collection of demographic, clinical, cognitive and MRI data Work with
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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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: The successful applicant, working under the supervision of Dr. Mabel Carabali as a research/project coordinator the CIHR funded Zika virus (ZIKV) Individual Participant Data (IPD) Meta-analyses (MA) Phase II and
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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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the supervision of the Research Supervisor, the Research Assistant 1 will be involved in all aspects of running psychological experiments. Position Summary: Participant recruitment Conducting experiments Data
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: The research assistant 1 will be responsible for developing detailed data analysis plans, data preparation (linkage between data sources, clean up, operationalization of intermediary and outcome measures, and