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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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diffusion techniques to design materials with targeted optical properties, scaling to large systems through efficient representations and GPU parallelization. We will also create multi-fidelity predictive
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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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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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techniques. 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 in a relevant field, such as bioinformatics
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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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. 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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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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field, such as bioinformatics, biochemistry, molecular biology, biotechnology, or a related discipline. You must have: Expertise in either computational protein design or wet lab techniques for protein