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science, computer science, applied mathematics or a related field a strong background in machine learning, material modeling, and metals processing, modeling and simulation (This will be a clear advantage
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sciences (including meteorology and oceanography), ecology, mathematics, computer science, engineering, economics, or political science. Students who are still working on their Master's thesis are also
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the Institute for Quantum Optics and Quantum Information (IQOQI) of the Austrian Academy of Sciences. We are a member of the Vienna Center for Quantum Science and Technology (VCQ), one of Europe’s largest hubs
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the Institute for Quantum Optics and Quantum Information (IQOQI) of the Austrian Academy of Sciences. We are a member of the Vienna Center for Quantum Science and Technology (VCQ), one of Europe’s largest hubs
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should have or expect to achieve, at least a 2:1 (or equivalent) in any engineering degree programme, physics or mathematics. English language requirements: Applicants must meet the minimum
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microenvironments, molecular biology, and with experience in, or interest in learning, basic computational biology methods. Candidates must be able to perform as part of a team as well as independently, and must have
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Foundation Data Science Collaborative Research Programme. In other arms of the collaboration, deep learning analyses of pregnancy ultrasound images will lead to measures of fetal and placental anatomical
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Pr. Genevieve Thon, Department of Biology, gen@bio.ku.dk , +45 35330198. The PhD programme Qualifications needed To be eligible, you must have completed a degree programme, equivalent to a Danish
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Biology, Physics, Applied Mathematics, Computer Science, Bioengineering, Systems Biology or a related field. Proficiency in modelling using differential equations is required. Candidates must have
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boundaries. This fully funded PhD scholarship is suitable for students with a background in Engineering Design, Smart Manufacturing, Aerospace Engineering, Mechanics, Computer Science, Mathematics, Life Cycle