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astronomy, astrophysics, engineering or a related field is required. Candidates should have obtained a PhD within the past five years (PhD received on or after September 30, 2022) or expect to complete
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should have obtained a PhD within the past five years (PhD received on or after September 30, 2022) or expect to complete their PhD within 6 months of appointment. * Exceptions may be considered
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sensing observations in the Canadian Rockies, compare its simulations to Canadian models such as CRHM, CHM and MESH and diagnose model improvements and tipping points in cryospheric-hydrological system
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January 1 or July 1, 2027, to be carried out in person at the University of Lethbridge. The successful candidate will have a PhD in Philosophy or a closely related area, with a background in argumentation
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and release of open-source benchmarks and simulation environments that will define the standard for the AI for Science community. Mentorship: Co-mentor a dedicated team of PhD and MSc students
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theory (QFT), with a strong emphasis on rigorous benchmarking and validation. The successful candidate will explore state-of-the-art algorithms for simulating QFT dynamics and ground states on near-term