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through this initiative are expected to excel in research and demonstrate strong performance in teaching and service. Minimum Qualifications: Applicants should possess a PhD in Computer Science, Engineering
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mechanisms of tumour cell killing and solving the structural basis of alloimmune responses. You will hold a relevant PhD/DPhil (or be close to completion: thesis submitted) together with relevant laboratory
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leading journals and conferences. About you · a PhD in Materials Science and Engineering, Physics, Materials Characterisation, Computational Materials Science, or a closely related discipline
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of the central challenges on the path toward large-scale quantum computing. In this PhD project, you will investigate how machine learning can enable faster, more scalable QEC decoding. The goal is to develop new
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, and commercialization through AI-enabled approaches. The successful candidate will develop, implement, and apply computational, machine learning, cheminformatics, structural modeling, and data science
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of mechanical structures. The position combines independent research responsibilities with active participation in teaching and supervision at relevant engineering programmes. Your primary research work will
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materials thereof using biotechnological, physical and chemical conversion strategies and engineering processes (b) understanding and controlling their underlying specific functionalities and the structure
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The Faculty of Engineering, Department Mechanica van materialen en constructies, Research Group No Large Research Group is looking for a PhD-student with a doctoral grant. More concretely your work
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27 Sep 2026 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Chemistry » Analytical chemistry Chemistry » Physical chemistry Engineering » Chemical engineering
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critical to our understanding of TC structure and intensity. The primary role of the incumbent will be to document, assess and quantify the impact of emerging technology data sets (e.g. drones/UAS, high