216 information-security-"https:"-"https:"-"https:"-"https:"-"https:"-"Bournemouth-University" positions at ETH Zurich
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of key novel optical components. The primary objective of the PhD is to actively participate in the instrument construction phase, leading the design and manufacturing of key subsystems, and contributing
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Marine authigenic clay formation, sometimes called "reverse weathering," is being increasingly recognised as an important facet of the series of Earth surface processes that interact to regulate
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100%, Zurich, fixed-term ETH Zurich is one of the worldwide leading universities and is renowned for its excellence in education, cutting-edge fundamental research and efforts to put new knowledge
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The BedrettoLab (Bedretto Underground Laboratory for Geosciences and Geoenergies) is an innovative research facility operated by ETH Zurich. It is situated in a 5.2 kilometers long tunnel with
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building material, contributing to the sustainable development of the built environment. Project background This PhD position is part of the interdisciplinary based at the Chair Gramazio Kohler Research
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staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a
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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
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engaged in development of electrochemical sensors detecting environmental pollutants, providing real-time information for effective management. Past and current work includes electrochemical sensors
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100%, Zurich, fixed-term The High-Resolution Weather and Climate Modeling Group at the Institute for Atmospheric and Climate Sciences (IAC) is recruiting a PhD student for a Swiss National Science
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postdoctoral researcher in Robot Learning who is interested in questions such as: How can we fuse representations of the world with modern learning-based methods to allow for larger scale / longer horizon? How