75 scholarship-phd-agent-based-modelling Postdoctoral positions at Technical University of Denmark
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models, threat mitigations, and system-level architectures to support trustworthy and fail-operational task offloading. Responsibilities: Conduct research in security-aware real-time offloading in
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mathematical and analytical models to predict coil loss, facilitating the optimal design of HPMCs Constructing a large-signal platform to measure coil loss of HPMCs Exploring innovative solutions, such as new
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funded 16-month postdoctoral position offers you the chance to contribute to cutting-edge research, collaborate with leading experts, and develop innovative deception-based security strategies. As part of
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expertise spans from imaging and biosensor techniques, across digital health and biological modelling, to biopharma technologies. The department has a scientific staff of about 210 persons, 130 PhD students
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-band. We are looking for two postdoctoral researchers, who have excelled in the PhD projects and/or previous postdocs positions to join our team working towards demonstrating chip-scale quantum light
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to collaborate closely with our Danish industrial partners on innovative use cases, including advanced condition-based monitoring in industrial settings and speech enhancement in audio headsets. The appointed
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frameworks, applying existing frameworks, and implementing novel methodology in shared code repositories. You will also assist in instructing and guiding the research of MSc and PhD students. Qualifications As
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unique dataset and generate real-world impact through science-based advice for universities, policymakers and innovation funders? At DTU’s Centre for Technology Entrepreneurship (DTU Entrepreneurship), we
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of TSN-based in-vehicle networks. These networks carry mixed-criticality traffic and use TSN with multiple traffic shapers and redundant communication. You will investigate methods for runtime analysis
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for the detection and quantification of methane dissolved in seawater. The project is based on previous results (see https://doi.org/10.1021/acsanm.4c06883 ) and will specifically investigate how the preparation