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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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the ability to work independently and in collaboration with multidisciplinary teams. Excellent verbal and written communication skills in English. Preferred Qualifications: Familiarity with Neuromorphic
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electronic engineering. Proficiency in programming languages such as Python, C++, or MATLAB. Strong problem-solving skills and the ability to collaborate in interdisciplinary teams. Excellent command
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results. The ability to work collaboratively in a team with an open-minded spirit, embracing both teaching and learning opportunities. A genuine interest in discussing physics and engaging in thoughtful
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systems To disseminate your research in conferences and high-impact journal papers. To contribute to the education and supervision of Bachelor and Master students. Strong collaboration with industry and
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. one page) Curriculum vitae including information about your education, experience, language skills and other skills relevant for the position Original diplomas for Bachelor of Science or Master of
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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 Prof. Henning
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or Komagataella phaffii , FACS-based screens, next-generation sequencing, and handling of large datasets with e.g. Python or other high-level, general-purpose programming languages is beneficial. Excellent
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-tasks and language models. This position is part of SDU’s initiative to develop energy-efficient AI accelerators based on alternative model architectures that cannot be leveraged as efficiently
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assist in preparation and testing of the platforms at the partner institutions collaborate with an interdisciplinary research team in a focused scientific effort contribute as teaching assistant at DTU