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Field
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demonstrate solid knowledge of relevant social science theories and methods necessary to carry out the proposed PhD project. Admission to the faculty’s PhD programme is a prerequisite. See admission
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fields may be considered on an individual basis. Candidates must demonstrate solid knowledge of relevant theories and methods necessary to carry out the proposed PhD project. Admission to the faculty’s PhD
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relevant fields may be considered on an individual basis. Candidates must demonstrate solid knowledge of relevant social science theories and methods necessary to carry out the proposed PhD project
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: Strong expertise in signal processing for wireless communication systems, including modulation and coding techniques on the physical layer of a radio, array antennas and their use in multiple input
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theory & experiment: Co‑design validation experiments with experimentalists; iterate models using feedback from new measurements. Automate the workflow: Build Python workflows for simulation and data
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& advance digital twins: Integrate electronic structure (e.g., DFT, ab initio MD, tight-binding) with multiscale simulations to predict experimental observables at interfaces. Bridge theory & experiment: Co
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the master's degree has been awarded. A strong interest in Algorithmic Number Theory and/or Cryptography is a requirement. Experience in programming is an advantage. Experience in developing and coding
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research interests encompass a broad range of topics, including discrete mathematics, finite model theory, and the complexity of logical systems, as well as the foundations of AI, explainability, and answer
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the thesis with your application. Documentation of your completed PhD degree must be submitted before commencement. Demonstrated knowledge of pedagogical theory, particularly linked to approaches such as
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will work at the interface of first-principles theory (e.g., DFT) and reactive force field modeling (e.g., ReaxFF), developing multiscale, high-throughput workflows that simulate and optimize growth