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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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. Jonathan Benichov. Key Responsibilities: Plan and conduct research with songbirds (zebra finches). Write manuscripts for publication, resulting in a thesis. Present research at local and international
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programming skills and experience with Deep Learning. In addition, you must have an understanding of or an interest in the physics of (EM) image formation. Key responsibilities Conduct original and novel
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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
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are, and draw up a development plan. This position is a good fit for you if you recognise yourself in having the following: (Research) Master’s degree in Criminology, Sociology, Communication Studies/Science
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will inform port operations in the Netherlands and globally, as part of the project objectives. Key responsibilities Develop own research plan (in alignment with the project and assisted by supervisors
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Strong programming skills in Python (please mention your level of proficiency and knowledge of other programming languages in your CV and motivation letter) Extraordinary motivation for scientific work
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the form of a research course report or master’s thesis; Good programming skills. Preferably you have provable experience with deep learning; software (e.g., Pytorch, Jax, Tensorflow) and large-scale