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., sensor, field) coordinate and document data flows between citizen-science platforms, AI processing pipelines, and institutional or external repositories to ensure data integrity and traceability implement
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in Computer Science: Software Engineering, Sensor Networks and Engineering Computing (https://www.hvl.no/en/research/phd-programmes/phd-programme-in-computer-science/ ). The research programme in
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wearable systems, including artificial hearts, blood pressure sensors, and soft robots for the heart, which adapt to people's physiological and mental needs. In this project, you will closely collaborate
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. Photothermal heating should therefore be minimized to enable practical applications of plasmonic sensors. In addition, such photothermal heating is not only detrimental in the area of biosensing, but equally
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the largest individual research program in Sweden. Please see https://wasp-sweden.org/ for further details. We are seeking up to two qualified candidates who can collaborate effectively as a team. We strive
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for soft and continuum robots, integrating advanced sensing technologies for shape and force estimation, and implementing sensor-based feedback control strategies. The project will also explore AI-based and
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retention tests. Microstructural analyses (micro-CT scan, MIP, XRD, ESEM). Experience with sensors acquisition and development. Saturated and unsaturated elasto-plastic models. PhD in a related field
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, researchers, and policy stakeholders to ensure that your work contributes to sustainable, evidence-based educational change at TU Delft and across the 4TU network. You will be hosted by the Electrical
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of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en
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USING AI, NEURONAL AND MYOELECTRICAL SIGNALS AND MIOELECTRICAL SIGNALS. (C-062/25). More information: https://tablon.upct.es/anuncio/MRyK3gEy6o Deadline for submission of applications: 20 November