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VOICES is a multidisciplinary project in history, computer science, and engineering that studies testimonies of Holocaust survivors. For this, it uses computational technology (specifically
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Bewerbungsende: 29.09.2025 VOICES is a multidisciplinary project in history, computer science, and engineering that studies testimonies of Holocaust survivors. For this, it uses computational
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funded projects Your Profile Completed doctoral degree in materials science, chemistry, physics, engineering or a related field In-depth knowledge of semiconductor technology and the physics of solar cells
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. Göttingen as a city of science, is located in the center of Germany and the University Medical Center Göttingen is integrated into an attractive network of university and non-university scientific
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, for example, the natural and engineering sciences or medicine Strong interdisciplinary exchange with the applied sciences, e.g., for model validation or the identification of relevant extensions Mathematical
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spectroscopy publication record, third-party funding confident manner, (project) management experience interest in research coordination and cooperation good knowledge of German or willingness to acquire good
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2 Sep 2025 Job Information Organisation/Company Friedrich Schiller University Jena Department Psychiatry and Psychotherapy Research Field Neurosciences Computer science Mathematics Engineering
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project activities and writing reports Your Profile MSc or PhD in a relevant field Experience with Machine Learning modeling Coding experience, preferably Python Basic knowledge of databases tools and
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 18 hours ago
PhD in the field of Medical Physics or comparable applied/natural science # Profound knowledge in machine-learning and strong affinity to apply this in the field of radiotherapy # Expertise in
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Postdoctoral Researcher (Physicist, Chemist or Material Scientist( (all genders) for a Tenure Tra...
, physical vapor deposition techniques and vacuum technology Good knowledge in physical analytical methods such as optical microscopy, Scanning Electron Microscopy, Energy-dispersive X-Ray Analysis Good