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of future experimental platforms. Securing research funding to support and expand activities in this domain. Supervising and inspiring students at all academic levels. You must contribute to teaching at
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Ph.D. courses as well as take part in teaching and supervision of students. The PhD further includes interesting opportunities for an external research stay. You must have a two-year master's degree (120
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Neighborhood Search (LNS), which will use the developed approaches to design smarter LNS destroy/repair strategies, enabling further performance improvements. The PhD student will join a strong academic team at
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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 education . We offer DTU is a
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Biology), Alexandros Asimakopoulos (NTNU Chemistry) and Terje Svingen (DTU Food). As a PhD student at DTU and NTNU, you will be involved in teaching activities and co-supervise BSc and MSc student projects
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approaches for the computational analysis of time-resolved data on reactions, contribute to teaching and supervising BSc and MSc student projects Qualifications You must have a two-year master's degree (120
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requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment will be made by Associate Professor Christian Damsgaard, Professor Jakob
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limited. We are offering a PhD scholarship for a student to develop ambitious new machine learning strategies for generating AI-ready data. You will work at the frontier of active learning and ML-guided
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sequencing data is an advantage. We offer: A three-year PhD position (or four-year for Master students) in a supportive, stimulating, and interdisciplinary research environment Enrollment in PhD school