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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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: 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 education, or, conversely, a PhD
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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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the SSF-Accelerate programme led by the KTH Royal Institute of Technology in Stockholm (KTH), and the University of Lorraine, within the framework of the PEPR SPLEEN programme. The research will be
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electron optics, MEMS technology, experimental microscopy, and computational imaging, we aim to open new possibilities for high-resolution surface imaging at low electron energies. As the postdoctoral
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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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machine learning or chemometric algorithms, LDIR, Py-GCMS and Raman, Caco-2 cells Additional Information Eligibility criteria Mandatory: *PhD in science, chemistry, food engineering or related disciplines
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Faculty of Health, Science and Technology is now accepting
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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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7 Oct 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Computer systems Computer science » Programming Engineering