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(120 ECTS) in chemical engineering, computer science, or a related discipline Some familiarity with ontologies, semantic data formats, knowledge graphs, and technologies such as OWL, RDF, SPARQL
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degrees in either the natural sciences (chemistry, physics, mathematical/computational biology) or in the formal sciences (statistics, computer science, mathematics), but must have a serious interest in
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- or nanoengineering, material science, mechanical engineering or similar. Experience with cleanroom fabrication processes or additive manufacturing is highly beneficial. You are expected to have a keen interest in
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Job Description Are you interested in the interrelationship between urban design and human mobility behaviour? Are you keen on using advanced computer science to help create more knowledge on how
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, electronics, and neuromorphic computing. You will join an international collaboration between DTU, EPFL, and Max Planck, gaining unique opportunities to work at the intersection of materials science, physics
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the research group Bioactives Analysis and Applications, and as part of the prestigious Alliance PhD program, you will collaborate with the Technical University of Munich (Germany). If you're ready to
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programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment
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Job Description Are you passionate about brain-computer interfaces (BCIs), neurorehabilitation, and intelligent assistive technologies? The Department of Health Technology (DTU Health Tech
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Bioengineering aiming to design novel Carbohydrate-Active enZymes (CAZymes) de novo (from scratch). Using state-of-the-art AI-based protein design tools, the project integrates computational design with in vitro
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-linear hydraulic behaviours, which pose significant computational challenges for large-scale planning and operational optimization. By leveraging the inherent network structure, the project aims to develop