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Field
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About the position We are offering one PhD position with specialisation in either comparative politics, political data science, or public administration. The successful applicant will be part of
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understanding of microstructure-property relationships in materials systems in the presence of different stimuli close to operational conditions. Such knowledge is crucial for designing advanced materials with
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of children in urban contexts. We are looking for a motivated PhD candidate who can conduct interdisciplinary research, combining theories and methods from urban studies and biomedical sciences. Researching
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, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load from
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About the position We are offering one PhD position in political science. We invite applications from excellent candidates in all sub-fields of political science, including public policy and
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analysis to mathematical logic. Project description We especially seek to recruit PhD students for the following projects: Group theory, arithmetic geometry and representation theory (supervised by Wushi
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coupled-cluster (EOM-CC) theory with periodic DFT (pbcEOM-CC). To quantify spin-phonon couplings of spins on surfaces—the bottleneck to modeling spin relaxation—we will develop a new approach using pbcEOM
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: Electrical Engineering, particularly with a background in wireless communications, communication theory, signal processing, or RF systems. Aerospace Engineering, especially candidates with experience in LEO
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at international conferences and prepare scientific publications Your Profile Master’s degree in physics or a closely related subject Solid background in quantum many-body theory and/or statistical physics
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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | 1 day ago
role Conduct cutting-edge research on generative models for materials science. Combine concepts of differential geometry and group theory for improved generative models that utilize the symmetry group