152 algorithm-development-"Prof"-"Prof"-"Washington-University-in-St" positions at DAAD in Germany
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Description The International Max Planck Research School for Quantitative Behavior, Ecology and Evolution from lab to field (IMPRS-QBEE) is looking for two motiviated PhD students to start latest in
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project, the suitability of novel, consortium-developed and innovatively manufactured material candidates, particularly high-entropy alloys (HEAs), for use in fusion applications is investigated
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Time Span 01 Apr 2026 for 4 years Application Deadline 15 Dec 2025 Areas of study Development Co-operation, International Relations, Political Science, Developmental Psychology, Clinical Psychology
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). As a member of the Helmholtz Association, the Helmholtz Centre for Infection Research, based in Braunschweig, conducts top-level research in the field of infectious diseases. Our scientists develop
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, Engineering and Management, Materials Technology, Materials Sciences, Nanosciences, Nanotechnology Description Description Join a multidisciplinary research environment at Forschungszentrum Jülich to develop
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responsibilities: Duties include academic services in the project named above. Research associates may also pursue independent research and further academic qualifications. A key task will be developing new
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. Within the framework of an interdisciplinary collaborative project, we are working on the development and investigation of novel refractory high-entropy alloys (HEAs) as potential candidate materials
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of the school. Furthermore, the school offers a number of individual measures to promote career development. Based on this year´s projects the PhD will be earned either at the Humboldt-University
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to the foundation. Under certain circumstances, scholarship holders may receive the following additional benefits: To prepare for the stay in Germany, the DAAD pays for a language course before the start of the study
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differential testing) We focus on techniques that apply to real-world software systems. E.g., in the past, we have developed techniques that find and fix bugs in widely used Python, Java, C/C++, and JavaScript