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Field
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scientific programming and an excellent command of English. Advantages (but not required) Background in systems and control. For example, familiarity with stability analysis, state-space methods, jump-flow
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professional environment Career guidance and follow-up during the PhD period Open and inclusive working environment with committed colleagues Working capital that can be used to implement the project Favorable
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Impact. Developing tasks in a strong and international professional environment Career guidance and follow-up during the PhD period Open and inclusive working environment with committed colleagues
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attention to quality, integrity, creativity and cooperation. What we offer We offer a doctoral scholarship for a period of one year. Following a positive evaluation, the scholarship can be renewed once for a
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offer An exciting job with an important mission in society Developing tasks in a strong and international professional environment Career guidance and follow-up during the PhD period Open and inclusive
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to develop a new generation of traffic prediction methods, combining traffic flow theory with machine learning, and with that, the best of both worlds: theory and logic where necessary, data-driven where
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validate AI-generated scenarios against current state-of-the-art urban planning tools to identify and mitigate biases. Develop methodological recommendations for the societal readiness of technology in urban
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candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months
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want to experience working at our faculty? These videos will introduce you to some of our researchers and their work. Conditions of employment Doctoral candidates will be offered a 4-year period of
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over a period of at least 7 years in primary school, secondary school and upper secondary education. We accept scanned copies of test scores. TOEFL/IELTS scores must be from within the last two years