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Field
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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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defined radios ▪ Prior knowledge of wireless communication systems (MIMO-OFDM, LTE, 5G-NR) ▪ Prior knowledge of information theory Our offer ▪ Access to state‑of‑the‑art lab facilities at the TUM ACES Lab
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Our theory group is a worldwide leader in studying the statistical physics of living systems. We
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
6 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Mechanical and Industrial Engineering Research Field Engineering
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if equally qualified. The deadline for applications is May 31, 2026. The position is funded by the German Research Foundation (DFG). The PhD student will be eligible for association with: Research Training
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potential in the field of theoretical physics (or complimentary field). Recent developments in cosmology, string theory and quantum field theory, together with important progress in topology and differential
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monograph. The two positions. We are recruiting two PhD candidates within GRID: Position 1 — comparative cross-national: developing and analysing the cross-national dataset to test the project’s theory across
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maintaining accuracy. Although such approaches are widely used, there is still much theoretical development needed to assess the accuracy and efficiency of these approaches. This project therefore seeks
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the most important, as a small change can be the difference between normal and pathological. We want to understand this bias and correct it. This is a fully funded position (TV-L E13, 100%) for a PhD student
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then be fed into process-level flowsheet models. The UK-National Nuclear Laboratory (UK-NNL) is supporting this project. In addition to acquiring training in computational modelling and theory