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computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics
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are located in Copenhagen. We offer creative and stimulating working conditions in dynamic and international research environment. Principal supervisor is Prof. Jan H. Jensen, Department of Chemistry
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at strengthening welfare, productivity, and sustainability within the society. A key element is the role of technology and its interaction with industry and individuals. Explore more at www.man.dtu.dk . Technology
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The project involve conducting high-quality research at the intersection of thermo-fluids science, AI/machine learning and optimization. We envision that: You have an open mind and can think creatively in
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wide range of sample matrices. We offer creative and stimulating working conditions in an international research environment. Our research facilities include modern laboratories and advanced analytical
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of sensitivity and efficiency. The group is a part of the Niels Bohr Institute, Faculty of Sciece, University of Copenhagen. We are located in Copenhagen. We offer creative and stimulating working conditions in
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the following profile: Dynamic, independent, creative and goal orientated Strong technical background in immunological methods including ELISA, Flow Cytometry and qPCR Knowledge and hands-on experience within in
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PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
Evaluating oxygen-carrying capacity and system stability Assessing biological interactions Candidate profile Required qualifications: You must have a two-year master's degree (120 ECTS points) or a similar
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interactions Candidate profile Required qualifications: You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Ideally
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consist of the following: Numerical simulation of multimode Raman interaction Mode excitation in optical fibers Characterize the modal purity of a multimode Raman amplifier Develop and implement spatial