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Prof. Dr. Maria Lukatskaya has been leading the Electrochemical Energy Systems Laboratory since 2020. The laboratory focuses on designing electrochemical processes by engineering electrolytes and
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system design. We employ advanced computational methods, machine learning, modeling, and custom hardware and software to continually test our solutions in various real-world industry projects. In one
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, the use of SAR for identifying and characterizing crevasses has seen limited research, necessitating the development of new methods. The approach will involve utilizing high-resolution data (e.g., airborne
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be directed to Prof. Markus Niederberger [markus.niederberger@mat.ethz.ch]. Applications are reviewed on a rolling basis until the position is filled. The preferred start date is as soon as possible
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trait-associated sequence variation. We offer a PhD position at the interface of computational and statistical genomics, and bioinformatics. Project background Cattle are an interesting «model organism
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lung and bladder barrier models (membrane-based organ-on-chip models) and for exposing those to bacteria and potential target drug compounds. A variety of analysis methods (fluorescence microscopy, mass
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bridge cutting-edge academic research with real-world industrial applications. Job description The position offers the possibility of a PhD, which will be supervised by Prof. Mirko Meboldt at ETH Zurich
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to state-of-the-art computational resources and collaborative research networks chevron_right Working, teaching and research at ETH Zurich We value diversity In line with our values , ETH Zurich encourages
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100%, Zurich, fixed-term The Center for AI Value at ETH Zurich, headed by PD Dr. Sebastian Tillmanns and part of the Technology Marketing Group (Prof. Dr. Florian von Wangenheim ), is inviting
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metasurfaces to explore polycrystalline materials as quantum light sources. This will include exploring chemical synthesis routes for ternary metal-oxides and combining these with nanopatterning methods as