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on the development of an Urban-scale Building Life-cycle Carbon Calculator in the form of a web app using relevant open-access technologies such as Cesium ion. This carbon calculator web app will combine
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candidate with a strong background geology/geomorphology, or a related discipline, a strong interest for evolutionary biology, and who is interested in bridging field data, computational modeling, and large
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directly atop the CMOS chips. Job description Therefore, it will be necessary to develop technologies and methods to minimize or avoid light-induced artifacts on the HD-MEAs, to establish and program a setup
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modelling and/or empirical analysis. The research will ideally combine insights from economics and e.g. computer science. Profile Applicants should hold a PhD in Economics with a strong economic basis and
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the field of Computer Science or similar Solid background in the foundations of reinforcement learning Proven research experience with first-authored publications at peer-reviewed conferences (ICML
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imaging, single cell tracking and quantification, large volume 3D bone marrrow imaging with single molecule sensitivity, and ai-supported computational analysis. Job description We are seeking a highly
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100%, Zurich, fixed-term The Robotic Materials group is looking for a highly motivated postdoc for the topic of soft optical sensory skin. The Robotic Materials group headed by Prof. Hedan Bai at Department of Materials was established in October 2023. We are an international and...
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ETH Zurich, Mathematics Position ID: 1118 -POSTDOC [#25919] Position Title: Position Type: Postdoctoral Position Location: Zurich, Zurich 8092, Switzerland [map ] Appl Deadline: 2024/12/15 11:59PM (finished posted 2024/11/21) Position Description: Apply Position Description The research group...
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PhD in Computational Materials Physics or a related area is required. Experience with electronic structure calculations is essential. Familiarity with the use of machine-learning tools in materials
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of spintronic devices. Job description You will be responsible for developing novel spintronic devices for computing applications. The characterisation will be carried out using lab-based characterisation methods