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for intelligent brain-computer interfaces? We are offering a PhD position in analog/mixed-signal CMOS circuit design for EEG and wearable sensor interfaces, as part of a pioneering project focused on assistive
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small-scale processing sector. By joining this project, you will contribute to the development of AI-powered tools that predict non-compliance, improve food safety monitoring, and ultimately protect
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. The microbiome is an essential contributor to animal health and welfare through participating in the vital physiological processes and guiding host development. The positive connection between diverse microbiome
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Prevention through Design and Planning (PtD/P), risk assessment, and safety compliance checking processes, and new performance requirements and measurement (metrics) for both lean and safe workflow planning
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holidays are not considered. Selection process The selection and recruitment process will be in accordance with the European Charter and Code of Conduct for the Recruitment of Researchers. The recruitment
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commercialized by a DTU spin-out (Spectroinlets) - but we have to move beyond what we already have in order to enable automated detection of non-volatile products. This will be your main objective. In parallel
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Applicants must have qualifications corresponding to a master’s degree related to the subject area of the project, e.g. population genetics, computational biology, bioinformatics, biology, computer
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professor, one assistant professor, one postdoc, and a large number of PhD students. The project includes strong partnerships with the University of Leipzig (Bioinformatics, Prof. Peter Stadler
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professor, one assistant professor, one postdoc, and a large number of PhD students. The project includes strong partnerships with the University of Leipzig (Bioinformatics, Prof. Peter Stadler
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equivalent) in Allergology, Immunology, Bioinformatics, Biochemistry, Biomedical, Protein Chemistry, Molecular Biology or a related field as well as: Solid understanding of immunology and/or food allergy, and