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), singular optics, using electrons, atoms and light and the exploration of complex systems using statistical field theory. "Catastrophes on order-parameter manifolds" (with Dr Alexis Bishop and Dr Timothy
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. Required Minimum Qualifications: MS in statistics or a closely related field by the time of appointment Teaching experience at the college or university level Preferred Qualifications: PhD in statistics or a
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Atlantic Association for Research in the Mathematical Sciences | Saint John East, New Brunswick | Canada | about 11 hours ago
tenure-track position in Statistics, at the rank of Assistant Professor, to start July 1, 2026. This position is subject to budgetary approval. The successful candidate will have a PhD in Statistics
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We are seeking a highly motivated candidate who has recently completed, or is close to completing, a PhD and has training in statistics, data processing, bioinformatics, or a related discipline, to
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of “Research Assistant” for a research project related to statistical learning of time-series models. The successful candidate will work with Hemant Tyagi (NTU Singapore) and Chew Lock Yue (NTU Singapore) in
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, Duke-NUS Medical School, Singapore is looking for candidates with a PHD in economics or related disciplines to support our growing portfolio of econometric / statistical analysis and decision analytic
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the supervision and mentoring of junior researchers and doctoral students. It is essential that you hold a PhD/DPhil in Statistics, Biostatistics, Statistical Machine Learning, or a closely related quantitative
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. Applicants should have a PhD or an anticipated PhD completion by August 2026 in computer science, data science, statistics, mathematics, or a related field. Review of applications will begin November 1st and
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privacy constraints, robust solutions are essential. This PhD project will develop methods for building reliable medical imaging models that generalize across distribution shifts without retraining
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This Masters or PhD project aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain ML predictions and