546 postdoctoral-image-processing-in-computer-science-"EPIC" positions in Netherlands
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- European Space Agency
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this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture, hardware prototyping
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work on his/her future career in science. Your qualities You are a recent MSc graduate in the field of International Land and Water Management, Environmental Sciences or Climate Studies, ideally with a
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collaboration with programme managers, sales colleagues, the Corporate & Alumni Relations department (CAR) and the RSM Dean of Engagement & Partnerships to ensure the delivery of excellent high-quality programmes
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Master’s programme offerings. The candidate will be expected to teach across several programmes in the Institute, notably the Master’s programme Crisis and Security Management, the Bachelor programme
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for managing and versioning many models in various different projects. Your qualities You have completed a Master's degree in 3D modelling, game design or human-computer interactions, and you have knowledge
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fundamental science to social science; policy-makers, regulatory bodies; industry, patients and citizens) and PhD candidate will also join these efforts. As a PhD candidate, you are committed to conducting
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of the selection procedure. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute
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infrastructure. Does this sound like you? You hold a Master's degree in Computing Science or Information Science (or a closely related degree) and have knowledge of and an interest in security and privacy. You are
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comprising programme directorates and support directorates, and under delegation from the Director General, you will be responsible for the definition, planning and execution of the Agency’s Navigation
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relevant field, such as Food Safety, Data Science, Food Science, Biotechnology; experience in predictive modelling and quantitative microbial risk assessment approaches; experience with relevant software