148 parallel-and-distributed-computing-phd-"Multiple" positions at ETH Zurich in Switzerland
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100%, Zurich, fixed-term The Computational Mechanics of Building Materials in the Institute for Building Materials at ETH Zurich has an opening for a PhD student in modeling fracture in soft
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expertise in material science, engineering, and computing. The lab focuses on sensing technologies for electronic textiles, with applications in sports and health. To strengthen its operations, the BMHT Lab
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with finance, budget, and student offices to ensure compliance with ETH policies and procedures. Additionally, you will initiate and support personnel workflows such as contracts for PhD students
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the possibility of extension to two years (covering the potential full duration of your study programme). Profile Essential: You are enrolled at a Swiss university (final year of a bachelor’s programme or early in
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of CRC, identifying novel prognostic biomarkers, and translating these findings into robust, interpretable models for risk stratification of CRC. Profile PhD in a relevant field such as Computational
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trait-associated sequence variation. We offer a PhD position at the interface of computational and statistical genomics, and bioinformatics. Project background Cattle are an interesting «model organism
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background Are you ready to dive into Materials Science? We are looking for a PhD candidate at the Laboratory of Metal Physics and Technology (LMPT) to explore the relationship between the nanoscale
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among research groups Establishing mechanisms to gather input, needs, and feedback from community members Managing the ETH Zurich side of the Joint Doctoral Program on Learning Sciences (JDPLS ), and
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, computer engineering and/or computer science towards producing relevant and impactful health-monitoring mobile/wearable solutions, then please apply. The research will be highly collaborative; you should be
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predict environmental distributions of health-impacting trace elements to prevent health hazards, today and in the future. The position is offered in the framework of a recently funded SNSF project with