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. The project is based on the novel application of formalisms, algorithms, and computational methods from computer science to the modeling of microbial communities, for use in health science. We aim to expand
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Monitoring (LTVEM) in the hospital for management and diagnosis of epilepsy. The technology is built on brain computer interfaces equipped with a Spiking Neural Network (SNN) and aims at early detection
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crustacean diseases. In addition, the section has a large project portfolio and currently employs 35 people with a background in veterinary science, molecular biology, immunology/vaccinology, diagnostics
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of materials science, tribology, surface integrity, and durability of engineering components. Our research spans experimental and computational approaches to understand how materials perform under mechanical
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electricity prices with focus on Nordic electricity market including implementation, test and validation at the DTU Risø HPP facility (possibly in a GPU computing infrastructure) Aid the implementation of IEA
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scientific publications and conferences is considered an expectation You will be assessed against the responsibilities and qualifications stated above and the following general criteria: Research experience
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. We offer an attractive and inspiring working environment with dedicated and highly skilled people. There is a formalized teaching program dedicated to methodological aspects of pharmacoepidemiological
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Job Description A 2.5 year postdoctoral position in biomolecular simulations of membranes and membrane proteins is available at PhyLife: Physical Life Science Center (phylife.sdu.dk ) at
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or question-answering for Nordic use cases). Qualifications: A Ph.D. or similar qualifications in Computational Linguistics, Computer Science, or a related field (e.g., cognitive science), specializing in
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or question-answering for Nordic use cases). Qualifications: A Ph.D. or similar qualifications in Computational Linguistics, Computer Science, or a related field (e.g., cognitive science), specializing in