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engineering, statistics, physics, mathematics, data science, informatics or similar degree with an academic level equivalent to a master's degree. The candidate should preferably have: Dedication and the desire
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student with a background in biological engineering, biotechnology or similar. You will work under the supervision of Assistant Professor Raphael Ferreira on large-scale genome engineering in human T cells
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, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Associate Professor Johan Ulrik Lind, and Assistant Professor Anne Z. Eriksen. We offer DTU is a
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We need to reduce climate impact by replacing fossil fuel. In this PhD project you can help with the green transition by enabling widespread use of alternative fuels. As biofuels and e-fuels will be
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level equivalent to a two-year master's degree in Electrical Engineering, Computer Science, Robotics, Safety Engineering, or related fields. Approval and Enrolment The scholarship for the PhD degree is
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programme, please see DTU's rules for the PhD education . Assessment The assessment of candidates will be performed by Professor Bengt Johansson, Project leader of the AI controlled engine project and future
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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 will be made by Associate Professor Christian Damsgaard, Professor Jakob
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Experience in mass spectrometry-based proteomics, structural biology, or CRISPR-mediated gene editing Proficiency in computational data analysis Strong communication and collaborative skills and an interest in
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(2023–2028), with the possibility of a 4-year extension. The center is led by Professor N. Asger Mortensen and currently consists of two Professors, two Assistant Professors, a Lab Manager, a Center
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control, open-source background checks may be conducted on qualified candidates for the position. DTU Compute Department of Mathematics and Computer Science – is an internationally recognised academic