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Job Description These days, the inner workings of molecules and materials can be probed and modelled by advanced simulation tools on modern computer architectures. However, the routine applications
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Biological and Chemical Engineering programme. The position
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Technical Sciences Tenure Track Aarhus University offers talented scientists from around the world attractive career perspectives via the Technical Sciences Tenure Track Programme. Highly qualified
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Technology, Computer Science, Artificial Intelligence, Data Science, Robotics or any other relevant field, at the time of admission into this PhD program. Students currently enrolled in Master’s programs can apply, provided
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Tenure Track Assistant Professor or Associate Professor in building information modelling and dig...
Assistant Professor or Associate Professor position from 1 October 2026 or as soon as possible thereafter. Job description The appointed candidate is expected (1) to develop a research programme in digital
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stage and a more independent position. A core task in the position is to teach research-based courses in the history of science and technology within the BA and MA program in the history of ideas
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application to our PhD Stipend. At the Faculty of Engineering and Science, Department of Chemistry and Bioscience, a PhD stipend is available within the general study program. The PhD stipend is open for
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Job Description The Department of Mathematics and Computer Science at the University of Southern Denmark (Odense) invites applications for a PhD scholarship in computer science under the umbrella
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At Aalborg University (AAU), Faculty of Engineering and Science, Department of Chemistry and Bioscience, an Integrated PhD stipend is available within the PhD study program of Biotechnology
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qualifications In this project, we advance an AI-driven T cell-targeting strategy based on de novo-designed peptide-MHC (pMHC) binding proteins. Using computational protein design, we create synthetic recognition