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are a self-motivated and creative person with critical thinking skills. You like to work as part of an interdisciplinary team, and love to advance your understanding of biogeochemical processes and
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on Facebook. If you have any questions regarding the application process, please feel free to contact us at makerspace@sph.ethz.ch . We would like to point out that the pre-selection is carried out by
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the know-how from electronics and MEMS processing. While successful for linear optics, nonlinear and quantum metamaterials require the usage of different materials platforms that demand development of new
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the spatiotemporal dynamics of neural activity at the local field potential and single-unit levels that support language processing on the cognitive side and epileptic seizures on the pathological side. We use a
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to benefit from latest advances in hardware technologies the ICON model was ported to run on Graphics Processing Units (GPUs) and is one of the first model that can be used in production
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. Knowledge of water treatment processes is desired, but not necessary. Good knowledge of English (spoken and written) is essential. Applicants should hold a MSc degree (or equivalent) in environmental
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. Advanced signal processing Dissemination of research findings through scientific publications and presentations Supervision of (BSc and MSc) students The project provides a unique opportunity to combine and
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100%, Zurich, fixed-term Do you have expertise in applied electronics and signal processing? Are you interested in applied research on transformative electronic textiles (e-textiles)? Your research
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efficiency, particularly with respect to latency. Project background The successful candidate will join the BMIC team at ETH Zurich and also be a part of the Computer Vision Lab (CVL). The project is conducted
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ideas into production-quality code. Processes are lightweight and agile: short goals, rapid iterations, direct contact with instructors and other stakeholders. All of our code is open and freely available