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Job Description Are you passionate about scientific machine learning, particularly physics-informed machine learning? If so, this position might be perfect for you. We are seeking a data scientist
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and Computer Systems Engineering ● Materials Science and Engineering ● Mechanical and Aerospace Engineering To be eligible to apply for domestic postgraduate research scholarships an applicant must be
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Element: numberavailable - Unable to display element. Data must be XMTHL compliant - Exception: XML parser error CreateXmlDoc Fatal Error: at file Integration Server line: 1 column: 1009 message
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improvement. The research will analyse results from a coupled hydrodynamic-biogeochemical model, adapted to the eastern German Baltic Sea, and compare it to existing monitoring data on seagrass distribution and
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contact details of 3 referees Applications should be submitted in English. Enrollment at the University of Basel for the successful candidates is mandatory. For more information, please contact Professor De
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. Supervisors:Professor Paul Sellin , Professor Carol Crean and Dr Ian Riddlestone Entry requirements Open to candidates who pay UK/home rate fees. See UKCISA for further information . Starting in October 2026. You will
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with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) A high motivation and the ability to work independently with a strong team orientation Excellent spoken and
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Data is more valuable than oil, so it has been said. Quantum computing offers new unusual datasets thereby presenting new opportunities for AI approaches. Quantum computing is raising the prospect
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rich curriculum that integrates economics, epidemiology, public health, and data science. HEPARD graduates obtain a strong international research network. Tailored and Flexible Curriculum: HEPARD’s
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