837 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"Max-Planck-Institutes" positions in Germany
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 2 days ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Starting date: 01.05.2026
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, materials science, materials engineering, industrial engineering, computer science, chemistry or another comparable course of study. You are interested in technical challenges in application-oriented research
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Scientific Personnel 02.03.2026, Academic staff To meet the advanced instrumentation needs of the BioSysteM cluster of excellence, BioSysteM is establishing a Technology Hub staffed with dedicated
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: https://g.co/kgs/sSYfhBy Email: becainternacional@edomex.gob.mx
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modules for electromobility, laser systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow's technology from a single source for
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 days ago
engineering. Close collaboration with the Helmholtz AI Consultant Team, providing direct exposure to a broad range of scientific use cases. Access to state-of-the-art computational resources and an open
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applications for the department AG Dichgans on the 1st April 2026, in full time, for Postdoctoral Researchers in Vascular Biology, Neuroscience, or Computational Biology – CRC 1744-funded (m/f/d) Scope of duties
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September 04, 2025 The International Max Planck Research School for Biology and Computation (IMPRS-BAC) is a graduate program offering comprehensive education and hands-on experience in both
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University of Würzburg and Helmholtz Institute for RNA-based Infection Research, GERMANY 1 Scientist / Postdoc Position Programmable RNA antibiotics (ASO technology) Applications are invited
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computing machine-learning innovation in connection with large-scale simulation-based research and observational data conceptual and technical development of data engineering / lifecycle (handling, streams, flows