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Job Requirements REQUIRED: PhD in a field of quantitative science; strong background in machine learning and signal processing; experience with and commitment to rigorous and reproducible
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of resistive switching mechanisms in meta/insulator/metal memristive materials Qualifications • PhD in Computational and Applied Physics • Proficiency using software for the simulation of atomic structure
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for a motivated candidate who: has obtained a PhD degree, either in one of the social sciences such as Educational Studies or Cognitive Psychology and a strong interest in engineering and engineering
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7 Oct 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Computer systems Computer science » Programming Engineering
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of different parts in the system, and the integration with other partners in the project. About you You should possess a PhD/DPhil in Engineering, Computer Science or other related field, (with the possibility
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theoretical particle physics, nuclear physics and technology, particle astrophysics and cosmology, quantum computing, technologies associated with particle detectors, accelerators, synchrotron light sources and
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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theories. The candidate will also be expected to apply these models to predict the engineering behavior of materials in service environments. Position Requirements Recent or soon-to-be-completed PhD
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. The candidate should hold, or be close to completion of, a PhD/DPhil in biomedical sciences or a related field. Prior experience in the development of retinal gene therapies, including viral vector engineering
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specific to a single model or setting. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background in machine