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evaluate the devices in ex vivo human tissue samples in collaboration with surgeons. Your primary tasks will be to: plan and execute experimental research design, fabricate and optimize flexible
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robotics, embodied AI and neurobotics, wearable robotics, and bio-inspired control. SDU Soft Robotics is a leading research group within SDU Biorobotics. We design, build, and program next-generation bio
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micronutrient researchers in our international and interdisciplinary program, MICROSUNSET brings together experts from several disciplines as supervisors, forming a consortium of seven beneficiaries (see above
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study programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: Advanced deep learning architectures Mathematical foundations
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. For information about our enrolment 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 made by Asso
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PhD scholarship in Mid-Infrared Frequency Comb Technology for High-Sensitivity Sensing – DTU Electro
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 . Assessment The assessment
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" at the PhD Programme Economics and Business Economics. You can read more about both the 3 and 4-year scheme here . The position is available from 1 September 2026 (or as soon as possible thereafter
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. The candidate should ideally have experience or interest in one or several of the following areas: A solid foundation in programming and system development, particularly using Python and machine learning
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will benchmark the developed methods against state-of-the-art methods for stochastic programming as well as testing the solvers on real-life problems. When benchmarking against state-of-the-art methods
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on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall be assessed at regular points in time