13 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" Postdoctoral positions at McGill University
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from relevant experts, to develop and evaluate Bayesian approaches for simultaneously accounting for multiple sources of uncertainty Main Responsibilities: Prepare and revise statistical analysis plans
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the EarthCARE Cloud Profiling Radar (CPR) Doppler velocity observations. Lead the development of data products for convective systems for the upcoming WIVERN mission, employing a combination of forward and
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: The RA will perform experiments to support multiple projects in the lab. The type of work will include, but is not limited to, animal behaviour, biochemical analyses, molecular and cell biology experiments
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a multi-disciplinary team including graduate students, technicians, and clinicians from multiple fields. Key Responsibilities Develop and apply computational pipelines to integrate and analyze
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: Department of Physics Position Summary: Development of a comprehensive phase field modelling platform for the quantitative examination of microstructure evolution and properties in two-phase Ferritie Steel and
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: - Development of pro-drug of existing BRaf inhibitors - Synthesis and biological evaluation of BRaf inhibitors - Application of software for drug design - Learn to lead and manage projects - Oversee graduate
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outcomes. The postdoctoral trainee will work closely with other Advanced Genomic Technologies lab members and D2R project collaborators and their group members to develop and apply spatial transcriptomics
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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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groups Other research activities related to this project as they arise Develop and implement independent postdoctoral analysis of the ICOI data according to the researcher’s interests, in close
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organoid-based approaches. Together, the teams will establish a bi-national tissue collection infrastructure, generate foundational single-cell and spatial omics datasets, and develop patient-tissue glioma