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. The research program may also involve a numerical simulation component. Your tasks #analyzing measurements of ocean turbulence using autonomous glider vehicles #use and develop machine learning methods
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ranges from core areas of computer science and electronics over medical applications to societal aspects of AI. SECAI’s main research focus areas are: Composite AI: How can machine learning and symbolic AI
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of inorganic ions and organic matter can cause defects in electrolyser stacks, resulting in costly process disruptions. This project considers: i) development of analytical methods for the quantification
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. Candidate´s profile: • Master’s degree in Life Sciences, in Computational Biology or MD degree • Previous research experience in immunology • Experience in flow cytometry, cell culture and in high-dimensional
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) at the Chair of Business Administration, in particular Accounting, Auditing & Corporate Governance (Prof. Dr. Patrick Velte), the university is looking for responsible, motivated and committed individuals
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Degree PhD "Medical Research", Dr rer nat, Dr rer biol hum, Dr med Course location München Teaching language English Languages Courses and lectures are held in English. Programme duration 6
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Languages The doctoral candidate's colloquium in Bonn is held in German and / or in Italian. The programme during the stay abroad is held in Italian. Participants can choose to write their dissertation in
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grades in the field of mechanical engineering, material science, physics, computational science or similar, preferably with a specialization in the field of theory and/or simulation Strong understanding
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qualified women to apply for the position. Your tasks develop surrogate models to approximate high-fidelity phase field simulations, incorporating physics-informed loss functions to enhance model accuracy and
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to contact Prof. Dr. Paolo Panza by e-mail (Paolo.Panza[at]uni-giessen.de) Our offer to you Integration into an innovative research project Interdisciplinary collaboration with excellent scientists Opportunity