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main areas of research are machine learning, distributed systems, and the theory of networks. Within these three areas, we are currently working on several projects: graph neural networks, natural
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McNeill. Profile The ideal candidate will have experience in environmental engineering, environmental science, environmental chemistry, analytical chemistry, physical chemistry, and/or organic chemistry
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supported by experts on all these disciplines working within the project and the role of the PhD will be more specifically to develop metrics to assess the regenerative capacity of Building projects
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-class professors, an extensive scientific network, and an interdisciplinary curriculum about the origin and prevalence of life. The NOMIS Foundation supports and enables insight-driven science across all
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base funding as well as external research grants. You will monitor and forecast budgets, process invoices, manage credit cards, and prepare financial reports and coordinate audits. You will coordinate
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talented colleagues in an international research network while building a rewarding career. Remuneration and employment conditions are in accordance with ETH Zurich regulations, which provide attractive
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of Mechanical and Process Engineering, ETH Zurich). This interdisciplinary project investigates how the immune system responds to implanted materials, aiming to develop strategies that improve tissue integration
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and a physical presence in the Canton of Lucerne over the next ten years. The ETH Swiss GeoLab will use data from space, from the air, and from the ground, as well as AI-assisted analyses methods and
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, Napier, C, Menon, C (2019) Lower Body Kinematics Monitoring in Running Using Fabric-Based Wearable Sensors and Deep Convolutional Neural Networks , Sensors, Vol. 19, 18pp Job description We expect you to
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. Additional familiarity with building your own embedded sensing sensing setup is a strong plus (e.g., for EMG/ECG/EOG or other differential or regular sensors). An optimal background for the project would be