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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented
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partners publishing scientific results in (high-impact) journals with a peer-reviewed process Requirements The ideal candidate holds a PhD in bioinformatics / computational systems biology or a closely
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, preferably in Python, Fortran, Matlab or R #experience in the environment of High Performance Computing (HPC) is desirable, but not mandatory #capability to work in a team but able to formulate and carry out
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qualification (usually PhD). Tasks: This research project funded by the German Science Foundation within the Priority Programme "Productive Biofilm Systems" aims at, in close collaboration with a partner group at
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Work group: Institute of Hydrogen Technology Area of research: Other Starting date: 10.04.2025 Job description: PhD student Reference code: 50137691_4 ? 2025/WT 1 Commencement date: as soon as
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neuroscience, educational psychology, computer science, or a related field The ideal applicant will have demonstrated exceptional research potential through their thesis work and share our passion for advancing
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biomedical sciences. What You Can Expect: We offer a diverse and stimulating range of tasks in the field of big data analysis, where you will develop and apply advanced computational methods to analyze complex
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Artificial Intelligence (AI), synthetic and chemical biology, molecular engineering and biotechnology. The main criteria are scientific and scholarly excellence and an innovative and ambitious research program
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of knowledge within its 18 Faculties, ranging from the humanities, law, economics and social sciences, to medicine and the natural sciences. The Institut für Schlaganfall- und Demenzforschung on the Campus
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
findings at academic venues and publish research in peer-reviewed journals Your profile # Completed university studies (PhD) in the field of Physics, Computer science, Materials science, Chemistry, or a