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Thun explores the possibility of high throughput materials development. In the context of our Materials Vision Tech initiative, we focus on multi-element gradient thin film systems, i.e. their rapid
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methods for image classification including machine learning and deep learning. You will develop clear workflows that allow for regular update of the derived models and maps. Furthermore, you will work
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opportunities to develop their skills in scientific communication through presentations at conferences and writing scientific papers as well as in management by co-supervising bachelor and master thesis
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, innovative and dynamic collaboration. You will profit from a systematic training on the job, in addition to personal development possibilities and our pronounced vocational training culture. If you wish
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. Empa is a research institution of the ETH Domain. The Urban Energy Systems Laboratory (UESL) pioneers strategies, solutions, and methods to support the development of sustainable, resilient, and
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immunoengineering. This position is part of our newly funded ERC Advanced Grant, which aims to develop genetically engineered feedback control circuits in human T cells to tackle challenging diseases. The successful
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, developing novel and innovative independent lines of research and significantly contributing to the lab's scientific vision.
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. Utilizing a combination of experimental and computational approaches, we develop and characterize novel functional materials and devices driven by robust nanoscale quantum effects. We are currently seeking a
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, particularly on measurements and searches using jet substructure and development of advanced techniques in particle tagging, including applications using machine learning, and are expected to take leading roles
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) based DCS and develop a spectrometer with unprecedented spectral resolution, sensitivity, and speed. Together with our partners, we will apply this instrument to study the ro-vibrational nature of chiral