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80%-100%, Zurich, fixed-term As ETH's central hub for artificial intelligence, the ETH AI Center brings together researchers of AI foundations, applications, and implications across all departments. We foster research excellence, industry innovation, and AI entrepreneurship to promote...
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among research groups Establishing mechanisms to gather input, needs, and feedback from community members Managing the ETH Zurich side of the Joint Doctoral Program on Learning Sciences (JDPLS ), and
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, microfluidics, patient samples, microscopy, in vivo models, genome engineering, single-cell analysis, and computational and molecular biology to elucidate the inner workings cancer cells and adult stem cells. Job
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We’d love to get to know you! Please record a maximum two-minute video clip introducing yourself and one project you have realized. We're not looking for perfect video production skills - just use your smartphone, be yourself, and don't worry about editing the clip. We want to meet the real...
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, and/or agency, and/or comparable experience in space-related industry Management experience in a complex and larger project or program, e.g. as PI/Co-PI, project manager Significant personal experience
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, for preclinical testing of engineered circuits where relevant; collaborating closely with molecular biologists, computational modelers, and clinical and preclinical research partners; documenting results clearly
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100%, Zurich, fixed-term The Chair of Infrastructure Management lead by Professor Dr. Bryan T. Adey in the Institute of Construction and Infrastructure Management (IBI) of the Department of Civil, Environmental and Geomatic Engineering (D-BAUG), has an opening for a researcher focused on data...
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20%-30%, Zurich, fixed-term The GenAI-R&D for Future-Proof Teaching group at the ETH AI Center (Zürich-Oerlikon) builds fully open-source systems aimed at transforming the way students learn and instructors teach. We focus on innovative tools such as chatbots, automatic problem generation, and...
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10%-30%, Zurich, fixed-term The chair of Forest Resources Management (FORM) is seeking a motivated student to assist in the development of Deep Learning approaches for tree species identification. This project focuses on mapping individual trees and quantifying their species, which are critical...
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most of the following: Bachelor's or (preferably) Master's degree in Computer Science, Engineering or a Social Science discipline combined with solid engineering skills 1–2 years of relevant work