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quantitative finance, particularly statistical arbitrage. What are you going to do? You will work 60% of the time on your PhD-project, and 40% of the time on projects at Deep Blue Capital. Those projects will be
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Apply Now Responsibilities* In the field of clinical pain research, design studies and projects to generate preliminary data and develop and implement Statistical Analysis Plans (SAP) for newly
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Parkinson’s Disease, or markers of brain structure and functioning, depending on the dataset. To do this, knowledge or willingness to be trained in advanced statistical modelling, ideally with an interest in
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in both research and education with other UCL departments, including computer science, engineering, economics, psychology, public policy, statistics and medical sciences. About the role The UCL School
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statistical inference, optimisation, microeconomics, scientific methods Elective courses in economics, finance, or optimisation Management Science Dissertation on a topic in logistics, operations management
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design. This role is ideal for candidates with strong wet-lab experience in microbiology, molecular cloning, and antimicrobial assays. A working knowledge of basic statistics is required. Additional
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | 42 minutes ago
standard statistical methods. UMass Chan offers strong support and mentoring, a collaborative research environment, a competitive salary with benefits, and visa sponsorship available. Interested applicants
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matter physics, physical chemistry, computational chemistry, statistical mechanics, or related fields Good English language – spoken and written Nice-to-have: Experience with molecular dynamics simulations
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Operations Management Department invites candidates to apply for a 2-year postdoctoral position. We are seeking a highly motivated Postdoctoral Researcher to join our team working on Statistical Learning and
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specific details under the 'Prob_AI' heading: PhD Projects | School of Mathematics The Prob_AI Hub aims to bring together researchers in Applied Mathematics, Probability, and Statistics to tackle challenges