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parallel clusters Integrate existing physical models into new software infrastructure for EOS research Benchmark against existing methods and support reproducible, open-science practices Collaborate closely
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integration. Provide expert-level technical and research support to the Architectural Engineering Group. Contribute to ongoing research projects, funding applications, and spinout activities, including
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in accordance with the project deliverables and project strategy. 2. Characterisation of completed models and software and the documentation of research output including analysis and interpretation
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for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer science
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and industrial integration. • Provide expert-level technical and research support to the Architectural Engineering Group. • Contribute to ongoing research projects, funding applications
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research units. The Experimental Fellows will be working with guidance from at least two of the LDT faculty investigators. These include: Karen Lee Bar-Sinai: Bar-Sinai’s group investigates the interaction
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individual to work on an exciting modelling and simulation project, involving extensively applied work at the intersection of software engineering research and modelling and simulation, with real-world testing
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between the Reliable Systems (PSY) research group, which works in formal methods, programming language theory and digital twins, and the Data and Knowledge Management (DKM) research group, which works in
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students are a select group recognized by Google researchers and their institutions as some of the most promising young academics in the world. Eligibility Applicants must be: Full-time UBC graduate students