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At the Fraunhofer IPT in Aachen, we work with more than 530 employees every day to make the production of the future more digital, more flexible and more sustainable. In the department »High-Performance cutting« , we deal with high-quality requirements in the metal cutting industry, especially...
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serious disability and those of equal status are particularly welcome. Qualified candidates are asked to apply via the Academic Appointment Portal of the University of Bonn (https://berufungsportal.uni
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19 Mar 2026 Job Information Organisation/Company FH Münster Research Field Other Researcher Profile Leading Researcher (R4) Positions Master Positions Application Deadline 17 Apr 2026 - 23:59
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https://securemail.tu-dresden.de by sending it as a single pdf file tojobs-scads.ai@tu-dresden.de or to: TU Dresden, ScaDS.AI, Prof. Dr.-Ing. Michael Färber, Helmholtzstr. 10, 01069 Dresden, Germany
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principal investigators can be found at http://www.kseta.kit.edu . The closing date for applications is March 15, 2026. Documents received after the deadline will not be considered.
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scientific staff and three technical staff, is responsible for teaching in the fields of general geosciences, structural geology, tectonics and Earth surface processes in the Bachelor's and Master's degree
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, earth sciences, energy systems, or material sciences A master's degree with a strong academic background in mathematics, computer science, physics, material science, earth science, life science
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University Mainz (JGU) is one of the largest universities in Germany. Thanks to its location in the Rhine-Main science region, the university can unfold to its full potential and showcase its innovative power
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particular within the Systems track of our English-language Master of Computer Science; Supervise bachelor’s, master’s, and doctoral theses; Collaborate with existing research groups at HPI and take an active
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is a recognized leader in clinical cancer epidemiology. The successful candidate is expected to pursue highly original and innovative research at the frontiers of risk-adapted early cancer detection