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topics such as: neural networks self-supervised learning convolutional neural networks transformer-based networks graph-based approaches Bayesian learning information theory Documented strong programming
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of their PhD theses. Education You will teach high-quality academic classes. You will teach the theory and theoretical exercises of the courses Physics I (1001WETFYS, 6 credits) and Physics II (1003WETFYS, 6
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theory of vertex operator algebras. Investing in you - benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities
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. We have recently developed cross-eukaryotic theory linking this motion to the essential maintenance and sharing of biomolecules across the cellular population of mitochondria (PMID 38043948). Already
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these codes into three widely used HPC libraries: MAGMA, SLATE, and SLEPc. You will collaborate with Environment and Climate Change Canada (ECCC), the Canadian meteorological office, to lead the integration
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also lead the application of the new code developments to open questions in Solar System and Exoplanet research. We particularly welcome applicants with backgrounds in (exo)planetary climate science
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logic, particularly in the area of computability theory and applications to mathematical structures and processes Collaborate with the research team on ongoing projects, exchanging ideas and insights, and
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the Faraday Institution. Academic partners in the project include the universities of Birmingham, Nottingham, Cambridge and Oxford. You will need a PhD in a relevant subject, and experience of the theory and
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Postdoctoral Research Fellow position in statistics, genetics, and biomedical AI. The lab develops cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical
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the world’s fastest supercomputers. Two of our project partners, the University of Tennessee and Valencia Polytechnic University, will support you in integrating these codes into three widely used HPC libraries