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No Department(s) Mathematics and Computer Science Reference number V32.7436 Job description Random spin systems from statistical mechanics have been successfully used to study critical behaviour at the interface
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, outcomes, and real-world impact. The student will be supported by a supervisory team including Professors in hepatology and epidemiology, and experts in computational statistics and model fitting using
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occurrence, aetiology, outcomes, and real-world impact. The student will be supported by a supervisory team including Professors in hepatology and epidemiology, and experts in computational statistics and
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of Mathematics, Statistics and Physics invites applications for a PhD position in Physics, under the supervision of Prof. Noel Healy Integral to the second quantum revolution is the entangled photon
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Award summary 100% fees covered, and a minimum tax-free annual living allowance of £19,237 (2024/25 UKRI rate). Overview The School of Mathematics, Statistics and Physics invites applications for a
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interdisciplinary and combines mathematics and statistics with applications in medicine. A substantial part of the research will therefore be done in close collaboration with infection control practitioners
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models available. Project description Nonparametric statistical learning provides a flexible and data-driven approach to choice modeling. Recent advancements have improved its economic interpretability and
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We seek a talented and passionate candidate to undertake PhD research in computer science, mathematics or statistics, and provide assistance to academic staff in a part-time Graduate Teaching
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International Centre for Translational Eye Research / Institute of Physical Chemistry, Polish Academy of Sciences | Poland | 3 days ago
applications Supervision over students Specific Requirements M.Sc. degree in Math, Statistics, Physics, Computer Science or related quantitative discipline Background in statistics, machine and/or deep learning
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position in the field of Machine learning meets choice models available. Project description Nonparametric statistical learning provides a flexible and data-driven approach to choice modeling. Recent