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Field
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. Candidates must 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
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the humanities or other 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
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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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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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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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developing synthetic datasets using simulation environments. Familiarity with the theory and implementation of diffusion models and GANNs applied to the same context. Minimum requirements: • Knowledge