263 assistant-professor-computer-science "https:" "https:" "https:" "https:" "Kyoto university" positions at DAAD
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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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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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Dresden explores and develops novel quantum materials with tailored properties. Around 300 researchers from over 30 countries work at the interface of physics, chemistry, and materials science to lay
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project involves interdisciplinary research at the interface of computer science and mathematics, with a focus on bivariate molecular machine learning for modeling molecular interactions and properties
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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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, Computational Biology or similar, depending on the project(s) you are applying for) and who are qualified to pursue a doctoral degree. In justified exceptional cases, we also accept applications from individuals
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in a larger research team and involves exchange visits with the partner universities in Prague and Vienna. Requirements: university degree in mathematics or computer science strong background in
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Description The joint CiM-IMPRS graduate program of the International Max Planck Research School - Molecular Biomedicine and Münster’s Cells in Motion Interfaculty Centre offers positions to pursue
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(s), incl. explanation of grading System; Proof of Enrolment for Master's programme; Proof of English proficiency; One letter of recommendation from a professor of the applicant’s home institution
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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