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degree in a relevant subject (physics, mathematics, engineering, computer science, or related subject) Proficiency in English (both oral and written). Knowledge in cryptography is desirable. Studentship
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range of science and engineering disciplines, from classical disciplines such as mathematics, astronomy and mechanical engineering, to interdisciplinary fields such as artificial intelligence,nanoscience
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of Technology. At each location we bring together more than 150 staff members. In ScaDS.AI, various research topics are being worked on within the framework of a graduate school on the fundamentals and
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Xia and Dr Tobias Bamford Name of UniversityMurdoch University FacultyCollege of Science, Technology, Engineering, and Mathematics CSIRO Name of CSIRO supervisorDr Yuan Mei CSIRO Research Unit Mineral
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29 Aug 2025 Job Information Organisation/Company Vrije Universiteit Brussel (VUB) Research Field Computer science » Other Mathematics » Applied mathematics Mathematics » Computational mathematics
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the PhD student in high-performance computing, computer programming, applied mathematics, fluid mechanics, mathematical modelling and data analysis for large datasets -of the order of 100 Terabytes
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 20 days ago
communication skills to join our research team. The PhD candidate should have: A Master’s degree (or comparable) in theoretical physics, applied mathematics or related disciplines from a recognized university
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The Young Investigator Group Perovskite-based Multi-Junction Solar Cells is looking for PhD Student (f/m/d) Development of All-Perovskite Triple Junction Solar Cells Your Tasks Manufacturing and processing
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interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering
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learning and AI models to imaging data [3]. The student will be tasked with the development of new models for the early detection of CIN cancers, applying bleeding edge computational methods and machine