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beyond the current state of the art are essential. This PhD position is part of a research project conducted in close collaboration with leading Swiss industry partners, offering a unique opportunity to
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multiphysics simulation Develop multimodal decoupling algorithms Scalable O-skin fabrication and system integration onto robots and as wearables Realtime sensory mapping in complex environments Supervise master
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validate predictive algorithms for biomarker discovery Optimize data integration techniques for multi-omics and clinical datasets Perform trend analysis of bacteria-containing samples over time to observe
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or semester interns. Your profile PhD in Materials Science, Mechanical Engineering, Manufacturing Technology or similar fields Experienced in CFD and FEM simulations using tools such as OpenFOAM (preferably
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based on the extracted image data. Job description Develop and apply state-of-the-art algorithms for image segmentation, feature extraction, and quantitative analysis Combine classical image processing
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for monitoring people’s health. You will focus on developing new solutions, electronics, algorithms and methods to assist individuals, physicians and sports coaches to effortlessly and continuously monitor health
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100%, Zurich, fixed-term The Seismic imaging and Interferometry group at SED has an open position for a PhD student in passive seismic interferometry. At the interface of seismology, hydrogeology
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/ reference gas analysis and a software algorithm for data treatment. Collaborate with leading AMS laboratories to ensure comparability of on-line measurements with established low-frequency monitoring