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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 the Netherlands may be eligible for a
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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 the Netherlands may
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programme. Win-win! As the Faculty of Archeology, we want our new students to feel integrated in our student community and supported by their programme. To do this we want to give you the opportunity to gain
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Gravitation (Zwaartekracht) program Adapt! This ten-year program will investigate how societies can navigate large-scale crises and disasters in an effective and legitimate manner, without undermining key
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line in computational archaeology that complements existing research in the Archaeological Sciences Department and the Faculty of Archaeology as well as university-wide research programs (e.g., SAILS
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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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Postdoctoral Researcher in Citizen Science & Societal Engagement for an Inclusive Energy Transition,
together we will draw up a development plan for the acquisition of new skills that suit the needs of the work and your ambitions. This position is a good fit for you if you recognise yourself in
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, and artificial intelligence, along with well-developed skills in scientific programming, and an affinity with network science in particular. You should be comfortable working with large-scale datasets
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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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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