151 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at ETH Zurich in Switzerland
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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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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
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, including student tutoring and seminars. You will organize at least one full-week excursion for students and PhD students to visit the most interesting objects on site. Profile You are holding a university
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100%, Zurich, fixed-term We would like to announce a PhD position in molecular modeling of intrinsically disordered proteins constrained by EPR, cross-linking and NMR. Proteins in disperse and
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founded by Innosuisse and the project is in close collaboration with an industrial partner. Profile Applicants for the position are expected to have earned a PhD in heterogeneous catalysis with documented
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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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outcomes. Curious? So are we. We look forward to receiving your online application with the following documents: PhD certificate CV Publication list with a clear statement on own contribution 2-page proposal
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, documentation, and experimental implementation Profile PhD in Mechatronics, Robotics, Electronics, or related engineering areas Proficiency in mechanical design, embedded systems, and hardware-software
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approaches. Profile PhD in biochemistry, analytical chemistry or related fields, with at least 3 years demonstrated practical experience in proteomics sample preparation, LC-MS/MS and data analysis and data
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100%, Basel, fixed-term ETH Zurich is a world-leading university dedicated to advancing science and technology. The advertised position is based in the Computational Biology (CoBi) group led by Prof