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within this field. Your work tasks In this position you will conduct research within Computer Vision and Deep Learning, with a particular focus on the development of an AI-powered framework
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develop computational and structure-guided approaches to understand immune recognition and design next-generation vaccines against respiratory pathogens. Our work integrates computational protein design
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At the Faculty of Engineering and Science, Department of Materials and Production a PhD stipend is available within the doctoral programme Materials Science, Mechanical and Manufacturing Engineering
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thereafter. Job description You will be working with antibodies targeting α-synuclein aggregates for therapy against Parkinson’s Disease. The antibodies will be engineered for optimal target engagement
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thereafter. Job description You will be working with antibodies targeting α-synuclein aggregates for therapy against Parkinson’s Disease. The antibodies will be engineered for optimal target engagement
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learning, operations research and optimization, developing advanced computational and decision-support methodologies for complex real-world challenges. The group conducts research spanning both
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At the Faculty of Engineering and Science, Department of the Built Environment, a PhD stipend is available within the doctoral programme in Civil Engineering. The position offers the opportunity
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DTU Tenure Track Assistant Professor in Surface Physics and Catalysis for Sustainable Energy Solu...
: Development of catalytic theory and computational design principles Atomic-scale studies on single crystals and mass-selected nanoparticles Synthesis, characterization, and testing of high-surface-area
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factor analysis. Develop robust, shareable bioinformatics pipelines for epidemio-genomic and phylogenomic analyses using genomic & metagenomic datasets and implement them in high performance computing (HPC
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factor analysis. Develop robust, shareable bioinformatics pipelines for epidemio-genomic and phylogenomic analyses using genomic & metagenomic datasets and implement them in high performance computing