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metamaterials. The successful candidate participates actively in the qualification program and general scientific activities of D³. More information can be found at https://tu-dresden.de/ing/forschung
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PhD project involves interdisciplinary research at the interface of computer science and mathematics and addresses a complex, coupled inverse problem with explicit uncertainty quantification. Research
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to such functions as movement, growth and regulation – emerge from interaction between their component parts. A distinctive feature of the CAFE-BIO programme is that a novel combination of modelling and analysis
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programs, the focus lies on individual research projects, complemented by program specific seminars as well as an individualized curriculum comprising lab and soft-skill courses, congresses, symposia and
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the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD
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available in the further tabs (e.g. “Application requirements”). Objective The aim of the programme is to interest graduates of the Taiwan Summer Institute Programme in Germany as a centre of research and to
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institution. At the Faculty of Computer Science, Institute of Artificial Intelligence, the Chair of Machine Learning for Computer Vision offers two full-time positions as Research Associate / PhD Student (m/f/x
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be funded? Tutorised university accompanying courses in linguistics, grammar, computer science, marketing, law, etc. (5 months) at Bochum Duration of the funding 1 September until 31 January Value
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details Web: https://www.uni-kassel.de/fb10/institute/chemie/fachgebiete/computational-chemistry-of-nanomaterials/home.html Legal notice: The information on this website is provided to the DAAD by third
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related fields demonstrated expertise in one or more of the defined focus areas strong analytical and problem-solving skills, with experience in experimental design, data analysis, or computational modeling