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Postdoc position to support international research and capacity-building projects employing elect...
of large-scale EM data for groundwater mapping. Teaching and training of Ethiopian partners and students in EM methods, data processing workflows, inversion software, and geological interpretation
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is a lively and research-oriented group of scientists and support staff with a broad interest in information processing in humans and computers, and a particular focus on the signals they exchange, and
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geological interpretation of large-scale EM data for groundwater mapping. Teaching and training Ethiopian partners and students in EM methods, data processing workflows, inversion software, and geological
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, or according to mutual agreement. The working location will be DTU Construct, Lyngby Campus. You can read more about career paths at DTU here . Further information Further information may be obtained from Senior
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comprehensive training in translational liver research, including data analysis, experimental design, and scientific dissemination. Qualifications We are looking for a highly motivated PhD candidate with a strong
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meetings in collaboration with the Scientific Manager Help ensure deadlines are met Ensure information is shared with all SDU partners Administrative support for status reports and other deliverables
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Research Mission Leader and Associate Professor in Biosolutions for Agroindustrial Biotechnology,...
. In Viborg the place of work is Blichers Allé 20, 8830 Tjele. The area of employment is Aarhus University with affiliated institutions. Contact information For further information, please contact
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reliability. Prospective applicants for this PhD proposal should have the following qualifications: M.Sc. degree in communications engineering, mathematical engineering, electrical engineering, computer
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data availability and design parameters. Importantly, the AI implementation should act as a facilitator of creativity, enhancing, and inspiring the early design phase rather than constraining
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, journalism, political science, sociology, law, economics, or computational social science, as well as an interest in how AI transforms the media and information ecosystem. The PhD student(s) will be embedded