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the workpackage team and collaborating with partners across Europe: data sharing, code exchange, joint publications. Your qualities You hold a PhD (or near completion) in statistics, applied mathematics, data
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contribute to smart grids that make energy networks more efficient, mathematical models that assist medical doctors, schedules that make hospitals more efficient and numerical schemes to study multiscale fluid
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Postdoc in modelling Greenland and Himalaya precipitation using machine learning Faculty: Faculty of Science Department: Department of Physics Hours per week: 36 to 40 Application deadline: 26
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and data acquisition. Collaborate with EXIT071 to advance dzITP technology for diagnostic and drug discovery applications. Optionally mentor or collaborate with MSc and PhD students involved in
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the workpackage team and collaborating with partners across Europe: data sharing, code exchange, joint publications. Your qualities You hold a PhD (or near completion) in statistics, applied mathematics, data
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are looking for candidates with: A PhD in Operations Research, Applied Mathematics, Mathematics, Engineering, or a related field. A background in logistics (preferred). Strong writing and presentation skills in
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research engineer with a passion for innovation and strong inter-disciplinary skills; PhD degree in Instrument or Analytical Engineering, Mechanical Engineering, Biomedical Engineering, Systems Engineering
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in combination with other machine learning techniques, to create predictive models. You will engage in an interactive feedback loop with domain experts to analyze discovered models and remove any
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Organisation Job description A postdoc position in computational social choice for AI Safety is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence
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. Qualifications PhD in Computer Science, Economics, Mathematics, or a closely related dis-cipline. Strong background in computational social choice, algorithmic game theory, or AI safety. Excellent research track