14 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation" PhD positions at Leiden University in Netherlands
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the development of techniques to leverage data from multiple EM modalities to improve image quality. All developed methodologies will be validated using appropriate EM datasets and experimental setups, in
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development. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. For international spouses we have set up a dual career programme. Candidates from outside
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and sabbatical leave. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. For international spouses we have set up a dual career programme. Candidates
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PhD position within the project "What's wrong? Ancient corrections in Greek papyri from Egypt" (AnCo
regular meetings of the project research group; You will participate in the training programme of the LUCAS Institute, the Leiden Graduate School of Humanities, the National Research School in Classical
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training and supervision plan, including through the Graduate School; Selection criteria Master’s degree completed by the time of the appointment in Archaeology; Demonstrable ability and enthusiasm
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plan, including through the Graduate School; Selection criteria Master’s degree completed by the time of the appointment in Archaeology; Demonstrable ability and enthusiasm for innovative and inter
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; Actively participate in discussions at the faculty, department, and research group level on research innovation; Follow PhD courses based on an individual training and supervision plan, including through
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on an individual training and supervision plan, including through the Graduate School; Selection criteria Master’s degree completed by the time of the appointment in Archaeology; Demonstrable ability and enthusiasm
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publications, and assisting in organizing and presenting at workshops and conferences; Take relevant courses and training; Participate in the PhD program activities and the intellectual life of the Institute
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; Solid background in Computer Science and Mathematics; Good programming skills in e.g., Python, C, C++; Experience with Cryptography; Experience with Machine Learning is a plus; Excellent written and oral