228 systems-science "https:" "https:" "https:" "https:" "Univ" positions at ETH Zurich
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, musculoskeletal biology, inflammation, tissue degeneration, or related biological systems is highly desirable Preferred Skills & Attributes: Strong organizational skills, including time management and attention
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80%-100%, Zurich, fixed-term The brain is a very complex system consisting of billions of neurons that interact with one another. Capturing this network activity at a single-cell level from multiple
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artificial intelligence. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental
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cell biology, and systems-level quantitative biology. The project aims to uncover how mechanical properties, forces, and physical phenotypes integrate with molecular networks to regulate the function
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industrial partners to tackle advanced modelling, simulation, sensing, and data analysis challenges in engineering systems across sectors. Project background The COMBINE Doctoral Network aims to train a cohort
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Müller muelchri@ethz.ch About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental
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biochemistry and cell biology. The goal is to build a collaborative interdisciplinary team that uses population genomics to support the development an implementation of working experimental transposon models in
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research project “Connecting physical engineering and digital design: Enabling high-performance timber plate structures through simplified connections and planning processes”. The project is a collaboration
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to work at the interface of quantum optics, quantum information science and quantum many-body physics. Led by Prof. Wenchao Xu , the EQE group develops programmable quantum systems based on neutral atoms
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electrochemical assays with cell biology on micro-/nano-electronic devices. The aim is to develop molecular assays (genomics and proteomics) and cellular assays and support experimental work across a range of CMOS