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learning capabilities is essential, including data association and other Bayesian methods. You will join a collaborative research environment at the University of Sheffield, working across the School
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. For more information, please see: https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will you be part of that change? Then join us in this unique program
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Website https://job-boards.eu.greenhouse.io/constructorknowledgelabs/jobs/4976717101 Requirements Research FieldComputer scienceEducation LevelMaster Degree or equivalent Skills/Qualifications Required
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, modify and extend. The project will explore a range of AI predictive and generative methods, such as large language and vision models (LLMs/VLMs), inverse procedural modelling, Bayesian optimisation, world
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finite-temperature anharmonic effects, thereby expanding the existing ab initio thermodynamic database to support the Bayesian inversion framework of the SHARP Thematic Project (Task 21, WP3). The project
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Multiple Research-Intensive Associate/Full Professor Tenure System Positions & an 1855 Professorship
health policy. View Position Requirements and Apply to job #1059449 https://careers.msu.edu/jobs/associate-full-professor-tenure-system-flint-michigan-united-states-86556cc5-396d-471e-b100-1e0d63e7d387
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data and data integration, especially in molecular medicine; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal
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Mathematics, and Statistics mirroring the School’s strong research programs. It has particular strengths in Algebra, Analysis, Combinatorics, Geometry, Mathematical Physics and Number Theory, Bayesian and Monte
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methods of absolute dating, statistical analyses and Bayesian modeling; significant scientific achievements in this field (in particular a scientific monograph, scientific articles published in prestigious
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. The postdoctoral scholar will contribute to an exciting research program within the Foy Lab (www.foylab.xyz/) https://foylab.xyz/ , developing machine learning, computational, and mathematical models for improving