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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 2 months ago
currently based on clinical and lifestyle factors, but these have limited predictive value. Adding molecular risk factors to these assessments could improve risk prediction. Our recent research has shown
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: - Development of programmable control elements for self-amplifying RNA (saRNA) therapeutics. - Regular mentorship meetings with the supervisor - Training in the new technique and workflows relevant
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models for neurological diseases (e.g., Multiple Sclerosis) and cancers, applying these modeling advances to patient-level outcome prediction, treatment-response modelling, and the discovery of image-based
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ABIF can be found at: http://www.mcgill.ca/abif. Primary Responsibilities 1. Technical Development & Innovation Lead and document quality control (QC) workflows for ABIF imaging systems, including
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and Area Studies identifies and supports outstanding scholars at the start of their academic careers whose work combines excellence in a social science discipline with a command of the language and
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environment. Other Required Skills and Abilities Demonstrated ability to manage and analyze large, multi-modal datasets. Familiarity with cloud computing environments (e.g., Google Cloud) and version control
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the position is filled. Qualifications: Ph.D. in meteorology, atmospheric science, or a closely related field Demonstrated experience in understanding processes that control clouds, precipitation and convection
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probes (e.g., metal-enhanced fluorescence, plasmon-controlled fluorescence etc.), ii) single-molecule approaches to interrogate and understand the function and dynamics of heterogenous catalysis by