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general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Professor Jesper Hattel and Associate Professor Chris
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. You can read more about career paths at DTU here . Further information Further information may be obtained from Researcher Nao Takeuchi-Storm +45 93511681 (naots@food.dtu.dk ) and Professor Lisbeth
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of Psychology and Behavioural Sciences have achieved the distinguished AASCB, AMBA and EQUIS accreditations. Further information For further information about the position, please contact Associate Professor
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. The project will be supervised by Associate Professor Martin Hansen (DTU Sustain), and co-supervised by Professor Hans Peter Arp (NTNU Chemistry), Senior Scientist Anna Rosenmai (DTU Food), Veerle Jaspers (NTNU
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, including electrical engineering, control theory, industrial engineering, electronics engineering, energy policy, data science, and applied mathematics. As part of the Alliance program, your project will be
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here . Further information Further information may be obtained from Assistant Professor Arash Nemati (arnem@dtu.dk ) or Professor Henrik Lund Frandsen (hlfr@dtu.dk ). You can read more about the
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explored using scientific machine leaning. Machine learning, programming experience and a curious mind-set You are fascinated by how computers can learn from data and you have a strong interest in the
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PhD scholarship in Corrosion of Power Electronics Systems under Humidity and Gases If you are looking for an exciting opportunity for PhD, we at Materials and Surface Engineering section, Department
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background in business studies, economics, sociology, or political science. Please note that it is a strong advantage to be able to speak and read Danish as the data collection process is partly to take place
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the candidate 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