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equivalent to a two-year master's degree in mathematics, physics, computer science, electrical engineering or closely related fields with a focus on computer vision, machine learning or robotics A strong
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engineering, statistics, physics, mathematics, data science, informatics or similar degree with an academic level equivalent to a master's degree. The candidate should preferably have: Dedication and the desire
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Job Description Are you interested in the interrelationship between urban design and human mobility behaviour? Are you keen on using advanced computer science to help create more knowledge on how
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an MSc background in Industrial Engineering, Management Science/Operations Research, Computer Science, Mathematics, or a similar degree. Additional qualifications include: Good Experience with
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research. Successful applicants will ideally have: A relevant MSc degree in computer science, data sciences, applied mathematics, statistics, operations research, control, electrical engineering, energy
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and Computer Vision Excellent programmer in Java / C / Python or equivalent Excellent at using Machine Learning software, e.g. PyTorch / TensorFlow / Scikit Learn Highly knowledgeable in mathematical
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will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join DTU and the Marie Skłodowska-Curie
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control, open-source background checks may be conducted on qualified candidates for the position. DTU Compute Department of Mathematics and Computer Science – is an internationally recognised academic
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with expertise in transportation science, operations research and applied mathematics, and economics. Responsibilities and qualifications As a PhD student, your overall focus will be to advance the state