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Field
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, machine learning, optimization, and statistical data analytics are sought. Successful applicants will have experience applying these tools to a range of data problems, such as time-series analysis
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protein from transformed cells, and using this protein in mouse experiments. The project specifically also involves animal work and the use of interferon lambda with chemotherapeutic agents. The work
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Learning-enabled Autonomous Systems, and the IITP-funded Simulation-Based Testing for Mobility Cyber-Physical Systems of Systems. In this role, you will gain hands-on experience by setting up and configuring
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planning and dissemination of the results (e.g., publications, Qualifications: Currently enrolled as a graduate student at McGill University. Before applying, please note that to work at McGill University
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About the role This research is a collaborative project between the Schwabe and Markaki groups and funded by the BBSRC to study the structure and function of proteins and protein complexes
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on Sub-study 3 - the analysis and evaluation phase. These are casual roles in which the work hours will vary from week to week depending on participant availability and project demands. We anticipate
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clinical assessments of research participants, laboratory functions and assisting in tasks related to the operations of the research clinic. Job Description: Key Roles and Responsibilities: Training
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regulation of RNA-protein condensates, with particular interest in their role in viral replication and cellular RNA biology. The work will be experimental and technically varied, providing training in a range
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condensates, with particular interest in their role in viral replication and cellular RNA biology. The work will be experimental and technically varied, providing training in a range of modern biochemical and
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and antifragility against climate and infrastructural challenges, by supporting work that helps publish high-quality research. This post is full time (35 hours per week), available from 1 August 2025