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are looking for a collaborative and passionate new group member who meets the following criteria: A Master’s degree in AI, Computing Science, Mathematics, or Data Science. Strong coding, communication and
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bringing together inspiring people across disciplines and with a variety of perspectives and backgrounds. The Faculty has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences
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. The Faculty has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We
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, applied mathematics, computational biology, mathematical epidemiology, or a related quantitative field; you have strong training in at least one of the following fields: stochastic processes, statistical
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departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We do so, driven by
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degree in AI, Computing Science, Mathematics, or Data Science. Strong coding, communication and organizational skills. Demonstrable experience with using machine learning packages (e.g., PyTorch
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PhD position in AI and Human Centered Decision Making Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline: 5
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background in one of the following disciplines: Statistics, Mathematical Statistics, Mathematics, and Social Statistics We also welcome applications from candidates with a background in the social sciences
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: Statistics, Mathematical Statistics, Mathematics, and Social Statistics We also welcome applications from candidates with a background in the social sciences, provided they have advanced training in
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with modern machine learning. You will work on extending data-driven models with process-informed constraints and novel data integration strategies. The position is embedded in the Computational