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Field
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355137 “From Extremal Combinatorics to Algorithms and Back”. About the project/work tasks This project bridges two foundational fields in computer science and mathematics: Theory of Algorithms and Extremal
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will work at the interface of first-principles theory (e.g., DFT) and reactive force field modeling (e.g., ReaxFF), developing multiscale, high-throughput workflows that simulate and optimize growth
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research funding. You will supervise PhD students in the preparation of their PhD theses. Education You will teach high-quality academic classes. You will teach the theory and theoretical exercises
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using simplified models. But we consider all types of data, from full complexity climate models, to turbulence models, to in situ data. The work will be at the interface between data analysis and theory
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. But we consider all types of data, from full complexity climate models, to turbulence models, to in situ data. The work will be at the interface between data analysis and theory. We are also open to
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of machine learning techniques to aid the estimation of item response theory (IRT) models in small samples. The appointment is a full-time position and is made for a period of three years, 10% of which is
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researchers will be co-advised by UBC professors and Hakai scientists to develop projects that synthesize the information coming in from the monitoring program, as well as provide complementary theory
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statistical physics. Specific Requirements Preference will be given to candidates with experience in research related to machine learning, graph theory, statistical physics, and modeling of stochastic systems
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Field Theory and Mathematical Physics Group, Division
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relevant methods and theories to be used in the research. Participate in organising activities in the CLEAR research group, such as regular meetings, conferences, and workshops. Teach Russian and/or