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RPTU University of Kaiserslautern-Landau • | Kaiserslautern, Rheinland Pfalz | Germany | about 11 hours ago
Degree PhD Course location Kaiserslautern Teaching language English Languages Discussions are held in English (100%). Programme duration 8 semesters Beginning Only for doctoral programmes: any time
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Steel and other metal alloys. Other raw materials (i.g. Construction materials) Electronic and photovoltaic materials Research study area 1: The first research focus will be the application of advanced
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(de)coloniality. We value theoretical depth, methodological innovation, and societal relevance—principles that shape both our research and our teaching. Nijmegen School of Management At Nijmegen School
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motors to achieve actuating materials? 2) How can we bias Brownian motion through cooperative effects and amplify directed functional mobility in solution? To tackle the first challenge, several approaches
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an independent impact assessment of potential climate interventions in the Arctic marine environment through laboratory experiments and computer modelling. The team will develop physical, climate and ecosystem
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and Computer Engineering with specialization in Information Systems, which will allow a broad spectrum of interdisciplinary research. In particular, the successful candidate will be part of the E
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stiffness. The project will be computational in nature, involving monomer-resolved simulations of such macromolecules, calculating properties such as diffusivities and relaxation functions and performing
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of Computer Science and Communication. The position is part of the research initiative “The Digital Society” at Østfold University College. The position is focused on researching the integration of Artificial
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proposed starting time is August or September 2025. The appointment will be made at a competitive salary and will follow the PhD study programme at the Faculty of Science. Application deadline: 18 June 2025
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of Information Technology and Electrical Engineering. Knowledge of fundamentals of C++ programming. Competence in code optimization. Knowledge of hardware/software co-design principles, and computer architectures. Good