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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Promotion Job description: Your Job: Digital methods for inverse materials design are essential
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neuroscience, computational neuroscience, translational neuroscience, psychology, medicine, neurobiology, computer science, biological engineering, medical engineering, mathematics, physics, neuroimaging
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. Further information on doctoral degrees at Forschungszentrum Jülich including our other locations is available at: https://www.fz-juelich.de/gp/Careers_Docs . Please note that only applications including a
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Max Planck Institute for the Study of Crime, Security and Law, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 5 days ago
economics, business informatics, or a related discipline; Strong IT affinity; Excellent English and German skills, both written and spoken, are essential; A high level of commitment, resilience, teamwork, and
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Max Planck Institute for Medical Research, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 1 month ago
via the Portal in electronic format no later 30th September 2025. Please note applications received via E-mail cannot be considered, we apologize for any inconvenience this may cause. Contact
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to intensive induction training and an open and collegial working environment. Whether sports, music or team events - we offer a wide range of opportunities to pursue our own passions together and strengthen our
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. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | about 1 month ago
the Guardian and listed as one of the 52 places to go in 2020 by the New York Times. It has a long-standing history of classical music, academic education, and—more recently—modern arts. With its many parks
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Engineering, Operations Research, Civil Engineering, Computer Science, Data Science or a related field, from a university/department with a strong international research reputation Strong mathematical and
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resource-efficiency requirements. This collaborative doctoral project brings together the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy