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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | 1 day ago
Dresden University of Technology Course location Dresden In cooperation with Dresden University of Technology Teaching language English Languages The programme is conducted in English. Full-time / part-time
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Museum fuer Naturkunde, Leibniz Institute for Evolution and Biodiversity Science | Berlin, Berlin | Germany | 3 days ago
Framework Programme? Horizon Europe - MSCA Reference Number 14/2026 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Marie Sklodowska-Curie Doctoral Network
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mentorship by professors and postdocs of the research school, interaction with many peers, enormous computing power with HPI’s data lab, and significant travel funding. The scholarships are not subject to
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science. The PhD students are supervised by a supervisory panel consisting of a panel chair, a professor from the natural sciences and a professor from information/computer/mathematical science. The DASHH graduate
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curriculum vitae, a list of references and copies of key documents (transcripts, degree certificates) in a single PDF to the head of the Chair group, Professor Johannes Sauer (jo.sauer@tum.de ). The positions
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, the lecturer, etc.) Full-time / part-time full-time Programme duration 6 semesters Beginning Winter semester Application deadline All applicants: 15 February for the following winter semester Tuition fees per
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competences of the faculty and research team members at the ETH Zurich in Switzerland ideally complement the competences in natural sciences and computer science at the Max Planck Institute for Intelligent
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candidates and postdocs. Scholarship holders enjoy an excellent research environment, close mentorship by professors and postdocs of the research school, interaction with many peers, enormous computing power
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computer science and digital technologies. At HPI, you will benefit from close supervision by experienced professors and postdocs, cutting-edge research facilities, and a collaborative academic network, e.g. with
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an excellent research environment, close mentorship by professors and postdocs of the research school, interaction with many peers, enormous computing power with HPI’s data lab, and significant travel funding