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) at the Technical University of Denmark (DTU) invites applications for a fully funded 3-year PhD position focused on enhancing inter-subject BCI-assisted performance for exoskeleton control in stroke rehabilitation
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at DTU Compute, including teaching and supervision activities We are looking for you who have: Solid knowledge of process mining, continual learning, or cybersecurity Strong analytical and programming
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of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment will be conducted through online interviews. We offer DTU is a leading technical university globally
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Lab at the Department of Biotechnology and Biomedicine, Technical University of Denmark (DTU), for a fully funded 3-year PhD scholarship. In our team, you will be using state-of-the-art genome editing
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of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and
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and applying new skills. Experience with programming in Python and a working knowledge of statistics It would further be beneficial if you have some of the following skills: Hands-on experience with
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Ability to work independently, to plan and carry out complicated tasks, and to be a part of a large, dynamic group. Good communication skills in English, both written and spoken. Willingness to collaborate
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) or a similar degree with an academic level equivalent to a two-year master's degree in bioinformatics, computational biology, evolutionary genomics, or a related field Proficiency in programming
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SQUID magnetometry or similar techniques is a strong advantage. Experience in programming, ideally using Python to the extent that you can independently write programs to control and automate measurements
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computer programming language is expected. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Approval and