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to the effective computation of the data and numerical simulation. Where to apply Website https://resurseumane.ase.ro/non-gaussian-self-similar-processes-enhancing-mathe… Requirements Research
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to the effective computation of the data and numerical simulation. Where to apply Website https://resurseumane.ase.ro/non-gaussian-self-similar-processes-enhancing-mathe… Requirements Research
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will make water networks robust and resilient to these threats. Candidate requirements Starting October 2026, we require an enthusiastic graduate with a 1st class degree in engineering, maths or a
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joint doctoral programme of the three Berlin universities and the graduate school of the Cluster of Excellence MATH+. Areas of expertise include: Geometry and topology Algebraic geometry and number theory
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or applied maths, preferably at master's level. A 2:1 degree can be considered for applicants with prior experience in relevant research areas. Funding This is a self-funded PhD opportunity, therefore you must
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About Us In a nutshell Institutions & Location Glossary Research Scientific Orientation BIOLOGY CHEMISTRY & BIOCHEMISTRY MOLECULAR CONDENSATES BIOLOGICAL PHYSICS MATHS, COMPUTATION & AI Research
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(or expect to gain) a First class honours MEng/MSci or higher degree or equivalent in a Computational background: engineering, physics, maths, or computer science. How to apply: Submit your application via our
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degree in engineering, maths or a relevant discipline, preferably at master's level - in exceptional circumstances a 2:1 degree can be considered. Funding Explore funding opportunities for postgraduate
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Materials, mastering scientific machine learning, uncertainty quantification, and high-performance computing. Your models will inform fusion design and advance AI-for-materials. Perfect for physics, maths
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are expected to have a M.Sc. or equivalent in engineering, applied math, physics or similar and a solid background in mechanics and numerical methods. Programming skills (any language) are a plus. If