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English. The PhD must have involved numerical modelling. It is desirable to have documented knowledge from their university education in: Mathematics, especially differential equations. Numerical methods
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, Computational Mechanics, Mathematical Engineering or equivalent is required. A strong background in mechanics of materials and multi-scale and multi-physics methods is highly desired. Additional expertise in
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motivated and talented predoctoral researchers. The focus of our research is in the field of Data/Computational Science in Astrophysics & Cosmology. You can find more information about our research area and
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motivated and talented predoctoral researchers. The focus of our research is in the field of Data/Computational Science in Astrophysics & Cosmology. You can find more information about our research area and
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possibility of extension) Start date: August 2026 at latest The students will be enrolled in the structured PhD programme in Computer Science at Sapienza University of Rome, Italy: https://www.uniroma1.it/en
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2026 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within
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candidates with: A first-class degree in Electrical, Biomedical, or Communications Engineering, Computer or Data Science or a closely related discipline with a strong mathematical and data management
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Universität Berlin (Department of Biology, Chemistry, Pharmacy; Department of Mathematics and Computer Science) and Max Planck Institute for Molecular Genetics . You have: an above-average master's or
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endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal disorders as a case study for advancing digital health in
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: MSc (or equivalent) in Mathematics, Computer Science, Computational Linguistics, Engineering, or Medical Engineering Strong expertise in Artificial Intelligence, Machine Learning, and Natural