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publications Relevant research experience Other professional activities Good language skills Principal supervisor is Professor Kristian Thorup-Kristensen, ktk@plen.ku.dk . The PhD programme A three year full
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Willingness to engage in application-oriented R&D, by closely interacting with partners Contact information For further information, please contact Professor Christian Schlette via email (chsch@mmmi.sdu.dk
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LinkedIn: https://www.linkedin.com/company/sdu-robotics . Further information about this position is available via email from Tenure Track Assistant professor Di Wu (diwu@mmmi.sdu.dk ). If you experience
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priority to applicants with high grades from their universities. The three-year PhD program at CBS gives you the opportunity to conduct research under the supervision of CBS’ associate professors and
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DTU Tenure Track Researcher in Low-Noise Supercontinuum Lasers and Supercontinuum Laser based Opt...
of Professional Associations. The allowance will be agreed upon with the relevant union. Starting date is 1 July 2026. Location: DTU Electro, Campus Lyngby. The position is part of DTU’s Tenure Track program. Read
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Assistant professor Di Wu (diwu@mmmi.sdu.dk ). If you experience technical problems, please contact hcm-support@sdu.dk. Further information for international applicants about entering and working in Denmark
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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 of the applicants will be performed by Professor Kasper S. Pedersen. We
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, Rigshospitalet, Copenhagen. For further information about the project, please contact: Professor Helle Hvilsted Nilsen Department of Neurology and Department of Clinical Research Odense University Hospital and SDU
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the study participants. Supervisory Team and Research Environment The candidate’s primary supervisor will be Anthony Vincent Fernandez , Associate Professor of Applied Philosophy and Theoretical Psychology
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Biological Learning Machine, which is headed by Professor Jan Østergaard. The goal is to develop novel information-theoretic methods for identifying and analyzing temporal and spatial patterns of synergy and