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people across disciplines and with a variety of perspectives and backgrounds. The Faculty external link has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics
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PhD Position in Probabilistic and Differential Algorithm Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline
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well as with the stakeholders (Rijkswaterstaat, water boards, companies, etc). For example, you will interact with hydraulic engineering PhD candidates that study the barrier technical performance and failure
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of Computer Science at the University of Oxford, the Amsterdam Machine Learning Lab, and the XLA and JAX teams at Google. In a small part of your time, you will contribute to teaching activities within the Department
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of Computer Science at the University of Oxford, the Amsterdam Machine Learning Lab, and the XLA and JAX teams at Google. In a small part of your time, you will contribute to teaching activities within the Department
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of Computer Science at the University of Oxford, the Amsterdam Machine Learning Lab, and the XLA and JAX teams at Google. In a small part of your time, you will contribute to teaching activities within the Department
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, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we external link work on excellent research and inspiring education. We do so, driven by curiosity and supported by outstanding
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and with a variety of perspectives and backgrounds. The Faculty external link has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics
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Deadline 6 Apr 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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chemical analysis of organic soils. Up to 10% of your time will be dedicated to assisting in the BSc and MSc teaching programme of the Department of Biology. This will give you the opportunity to gain