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Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
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19 Dec 2025 Job Information Organisation/Company Karlsruhe Institute of Technology Department KIT Center MathSEE Research Field All Biological sciences Chemistry Computer science Mathematics
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information on doctoral degrees at Forschungszentrum Jülich (including its various branch offices) is available at https://www.fz-juelich.de/en/careers/phd We welcome applications from people with diverse
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and undergraduate students. PhD or terminal degree in Computer Engineering, Computer Science, or a related field. A track record of publishing and seeking funding. Collaborative research experience in
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Description The Integrative Research Institute Law & Society (LSI), in cooperation with the DFG Graduate School DynamInt (DynamInt), is currently accepting applications for two doctoral scholarships
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on doctoral degrees at Forschungszentrum Jülich (including its various branch offices) is available at https://www.fz-juelich.de/en/careers/phd We welcome applications from people with diverse backgrounds, e.g
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theory and methods by taking several PhD-level courses (about 36 European credits) in information systems, operations management, econometrics, machine learning, extensive data analytics and qualitative
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Midlands Graduate School Doctoral Training Partnership | Leicester, England | United Kingdom | about 1 month ago
University of Warwick. The Midlands Graduate School is looking to recruit top quality social science PhD students to commence study in October 2026 across a range of subjects and interdisciplinary training
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information on doctoral degrees at Forschungszentrum Jülich (including its various branch offices) is available at https://www.fz-juelich.de/en/careers/phd We welcome applications from people with diverse
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and Data Science to lead and develop our new Masters programme in this area, and to enhance educational provision focusing on data science applications in the music industry. You will offer demonstrable