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at all levels, including those in our DDS/PhD program. The candidate will collaborate closely with the Data Science Institute. A successful candidate will have demonstrated evidence of scholarly impact
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unique opportunity to develop both wet-lab and computational expertise during your PhD. Cutting-Edge Science : Work on fundamental questions linking gene regulation to neuronal function and circuits. State
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as a key target for future therapeutic and preventative measures. MICRO-PATH is a competitive, interdisciplinary PhD programme supported by the PRIDE scheme of the Luxembourg National Research Fund
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and knowledge transfer. Discipline, including, but not limited to: Electronic and Information Engineering, Computer and Data Engineering, Electronic and Electrical Engineering, Information Engineering
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. This field encompasses Computer Science, Data Science, Artificial Intelligence, and related interdisciplinary areas, with a focus on computing technologies, software development, algorithm design, and
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recruited within the AI4Science Group at the Department of Computer Science, Faculty of Science, Technology and Medicine. The ECI PhD candidate will perform prioritized Non-Targeted Analysis across diverse
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knowledge transfer. Discipline, including, but not limited to: Electronic and Information Engineering, Computer and Data Engineering, Electronic and Electrical Engineering, Information Engineering
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biological discovery, programmable biology, and AI-integrated experimentation. Through this program, AITHYRA aims to build a global faculty network that bridges computational and experimental sciences
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main research and teaching activities in bio-medical and bio-technological informatics, metagenomics, epidemiology, integrative systems biology and machine learning. The research at DTU Bioinformatics is
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assistant (PraeDoc) on this 4-year position, you will be part of the research group “Quantum Information Science and Quantum Computation”, led by Univ.- Prof. Dr. Philip Walther. The group is part of