25 genetic-algorithm-computer "Integreat Norwegian Centre for Knowledge driven Machine Learning" PhD positions at Utrecht University
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PhD Position in Probabilistic and Differential Algorithms Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline
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200 people, working in four divisions: Algorithms, AI & Data Science, Software, and Interaction. The atmosphere is collegial and informal. You will join the Human-Centred Computing group
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within the Reproductive Genetics team, with a specific focus on understanding the origins and consequences of embryonic aneuploidy. Your job Clinical duties will account for 30% of your time and include
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analytical purposes, as well as their provenance, making use of explicit concepts of geographic information. The goal is to support question-aware geodata discovery and computational reasoning using
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part of the ERC-funded project GeoTrAnsQData, which develops the foundations of a transformative GeoQA methodology through an integrated research program across geoinformatics, AI, and geography
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in the SPG. We will make use of models of different complexity up to complex Earth System models, and modelling efforts for different past periods. A personalised training programme will be set up
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people across disciplines and with a variety of perspectives and backgrounds. The Faculty has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and
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are encouraged to submit a research proposal that aligns with UCALL's research programme and encompasses multiple areas of law. Your job Over a period of four years, you will conduct a PhD research under the
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clinical and more fundamental research in the areas of regenerative medicine, locomotion, genetics and reproduction. More information For more information, please contact dr. Riccardo Levato external link
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MSc in physics, applied mathematics, environmental sciences, computational science or a related field; excellent skills in scientific programming and numerical/statistical analysis of simulated and