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science. Applicants can have a background in different fields of chemistry, soil and water chemistry, and environmental engineering. Candidates should demonstrate experience with prior experimental and
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient
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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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of Biochemistry and Molecular Biology, which allows the candidate to tailor a flexible individualized course program Training in a wide range of scientific and transferable skills including research management
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of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Dr. Lei Yang and Prof. Johannes Kabisch (Norwegian University of Science
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, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction
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advancing your scientific career at a leading research institution. You will join two research groups at the DTU National Food Institute, Technical University of Denmark: “Food Production Engineering” and
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, transcript and protein quantification at the single cell level Collaborate with interdisciplinary teams of researchers and industry partners Publish research findings in high-impact scientific journals and
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Job Description Explore your passion for sustainability, creativity and science by joining the exciting Novo Nordisk Foundation CO2 Research Center (CORC). CORC has its main hub at Aarhus
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Job Description The Quantum and Nanophotonics section at DTU Electro is seeking an excellent and highly motivated PhD student to be a part of a program on ‘Symmetry-guided discovery of topological