112 computer-"https:"-"https:"-"https:"-"https:" positions at Technical University of Denmark
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computing- and cloud infrastructure – enabling research, innovation, and secure data-driven services across society. About DTU Computerome DTU Computerome is a national High-Performance Computing (HPC) and
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Job Description Join a young research group dedicated to transforming materials discovery from empirical exploration to predictive design. Our research program builds on a synergy of high-throughput
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Job Description Migraine affects more than 15% of the global population and remains inadequately treated despite advances in biologics and receptor-targeting therapies. Emerging computational
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candidate for a 3-year, fully-funded PhD project. In this research programme, the PhD student will apply state-of-the-art synthetic biology and genome and metabolic engineering to enable environmental
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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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Tech), Technical University of Denmark, for a fully funded 3-year PhD scholarship. In our team, you will combine computational discovery with state-of-the-art experimental validation to develop novel
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candidate for a 3-year, fully-funded PhD project. In this research programme, the PhD student will apply state-of-the-art synthetic biology and genome and metabolic engineering to enable environmental
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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
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. Experience with automated crystallization platforms and imaging systems. Strong understanding of data storage systems, automation, and computational workflows. Excellent organizational, communication, and
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are strongly encouraged to apply. Responsibilities and qualifications Your overall focus will be to strengthen the department’s competences within computational modeling of large-scale atmospheric processes in