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Field
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soon hold) a PhD degree in Linguistics or a similar Language Science area are eligible for the role. The ideal candidate for this position has: a solid background in formal linguistics, particularly
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, Faculty of Mathematics and Natural Sciences, Department of Mathematics, Prof. Dr. Gavril Farkas, Unter den Linden 6, 10099 Berlin, Germany or preferred in electronic form to farkas@math.hu-berlin.de
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computer aided methods. Qualifications and Experience • Outstanding academic degree in materials science, metallurgy, metal physics or similar degree • Excellent doctorate with focus on computational
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are FU partners in the Berlin Joint Laboratory on Ultrafast X-ray Science (BerLUXS) and the German-Eastern European Laboratory for Energy Materials Research (GELEM) at the Helmholtz Zentrum Berlin. Job
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, Computer Science or related fields (for PhD); Doctorate in Physics, Computer Science or related fields (for Post-Docs). The positions are funded via the Cluster of Excellence (Machine Learning for Science), the ERC
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several students from abroad in our master’s program each year. It is important to us to provide a family-friendly environment at ESAGA. The university has several offers regarding child care for children
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Extensive knowledge of X-ray methods Knowledge of synchrotron science Knowledge of catalysis Experience in energy storage Experience with programming languages (ideally Python) Fluent in written and spoken
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(MPPT). Your profile: We are looking for motivated individuals (m/f/div) with a Ph.D. degree in Electrical Engineering, Materials Science, Physics, or a related field. Candidates should have a proven
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of Computation, Information and Technology (CIT), located on the Garching Campus, starting October 01, 2025 or later. The group is seeking a highly qualified candidate for a postdoctoral position who possesses
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fields Interest in immunology, systems biology and translational research Strong interest in mass spectrometry-based proteomics (prior experience advantageous) Proficiency in computational data analysis