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presentation of results at international conferences and publication in peer-reviewed journals are also expected About you: Advanced knowledge in control systems and feedback theory Programming skills in high
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about our extensive package of secondary employment benefits, take a look here. This is where you will work You will join a highly interdisciplinary project at the interface of simulations and theory
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join a highly interdisciplinary project at the interface of simulations and theory of porous materials, peptide self-assembly and adaptive materials. You will have access to state of the art
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Management Cluster. Our faculty members rely on a wide range of theories and methodologies, within both qualitative and quantitative approaches, and are committed to rigorous theory development and theory
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candidate is expected to: Demonstrate analytical ability and intellectual curiosity Be highly motivated for theory-driven, foundational research Show persistence and creativity when tackling technically
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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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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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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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made in accordance with NTNUs guidelines for recruitment positions for general criteria for the position. Preferred selection criteria Solid understanding of control theory, including classical and
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
processing data streams, with theories and methods for planning and logistics. The PhD research will focus on AI-enhanced planning of operations in shipbuilding supply chains, examining how AI techniques can