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Position Description We are seeking a postdoctoral researcher to lead experimental efforts to probe anyon braiding statistics. The project will use Fabry–Pérot and Mach–Zehnder interferometers
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international journals. Engage in dissemination of results to national and international stakeholders. Key Skills, Experience and Qualifications PhD in environmental epidemiology, biostatistics, mathematics, big
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, 2 emeritus professors, and each year typically 5-8 postdoctoral fellows and 10-16 PhD students. It also regularly hosts undergraduate and graduate interns as well as numerous international visitors
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position is available at the Department of Physics, New York University under the supervision of Prof. Sarah Kostinski. The research will be focused on theoretical aspects of statistical and biological
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, differential abundance testing, community composition comparisons, and other multivariate statistical approaches used to evaluate associations among bacteriophage populations, bacterial communities, clinical
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, including appropriate controls, statistical approaches, and methods to ensure reproducibility and scientific rigor. · Independently interpret experimental results, troubleshoot technical and
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Mathematics of Symmetry and Computation (CMSC) is a globally recognised research centre within the Department of Mathematics and Statistics at The University of Western Australia. CMSC brings together leading
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
, one that enables higher statistical sampling within a given material condition, new specimen configurations, and direct access to materials that simply do not exist in conventional quantities
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7 Sep 2026 Job Information Organisation/Company Medical University of Lublin Department Faculty of Medicine Research Field Physics Researcher Profile Recognised Researcher (R2) Positions PhD
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods