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Field
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non-social paradigms for pre specified research hypotheses. Conducting model simulations, fitting, and recovery, as well as statistical inferences on model outputs, for pre specified research hypotheses
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structure-adhesion relationships from characterization data Is Your profile described below? Are you our future colleague? Apply now! Education PhD in Material Science and Engineering or Material Chemistry
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well as statistical inferences on model outputs, for pre specified research hypotheses. Suggesting further appropriate methods and analyses. Writing manuscripts in to disseminate research findings. Present summaries
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Developing statistical, graph, and/or machine learning models to study transaction networks, illicit transaction patterns, and DeFi protocol operations Creating and evaluating tools, documentation, and open
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] Position Title: Position Type: Postdoctoral Position Location: Greifswald, Mecklenburg-Vorpommern 17489, Germany Subject Areas: Soft Condensed Matter Physics Statistical Physics Statistical and Biological
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37 Faculty of Business, Economics and Statistics Startdate: 01.10.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 30.09.2028 Reference
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understanding of non-stationary complex systems through theoretical analysis and numerical simulation develop efficient statistical algorithms for analyzing and inferring dynamical models from multivariate time
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partners, and monitoring budgets. Required Qualifications : PhD: A PhD in digital public health, urban health, data science applied to health or urban planning, smart urban systems, or a related field
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Minimum Qualifications Doctorate degree such as PhD or MD in biochemistry, molecular biology, immunology or related field is required. Preferred Qualifications Experience with in vitro cell models and in
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. Requirements: We are looking for a highly motivated candidate with a PhD in theoretical/computational physics or applied mathematics. A strong background in quantum mechanics and numerical simulations is