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with a PhD degree in Computer Science, Geoinformatics, Geography, Geology, Environmental Science or related fields. We look for the following specific qualifications: Thorough understanding
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with a PhD degree in Computer Science, Geoinformatics, Geography, Geology, Environmental Science or related fields. We look for the following specific qualifications: Thorough understanding
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. Join us at the Department of Electrical and Computer Engineering, Aarhus University, where we are developing semantic-aware communication that leverage edge AI, semantic reasoning, and efficient time
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glycoproteins essential for the health of mucosal surfaces. Our goal is to leverage cutting-edge mRNA technology to induce mucin overexpression in vivo, opening new therapeutic avenues for diseases linked
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will benefit from Lonza’s expertise and technology within peptide T cell immunogenicity, and the vast expertise within immunoinformatics and machine learning models at DTU to address this challenge
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project supported by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases”, led by Prof. Daniel Merkle. The expected starting
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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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and the Linux programming environment. Candidates with background in Physics, Physical Chemistry and Engineering are desirable. Candidates with only prior experience in empirical methods like docking
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WorkinDenmark for additional information. Further information about The Faculty of Engineering. Application procedure Applicants are advised to read the SDU information on how to apply . The application