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machine learning principles. The project aims at training and learning using both bottom-up and top-down approaches with applications to cardiac image synthesis, reconstruction and classification
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, processing, and interpretation of satellite and drone data, as well as (2) the development of operational applications for emerging intelligent earth observation technologies. Our team develops cutting-edge
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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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care work, part-time employment, or career breaks and consider applications proposing joint research in job-sharing. With its early-career fellowship program, the Collegium nurtures an environment
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catalysts and their operando characterization using X-ray absorption spectroscopy, X-ray total scattering, and infrared spectroscopy to identify the catalytically active sites/motifs. Profile Applicants
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basic research findings into therapeutically applicable treatments. The lab operates at the intersection of molecular and cellular biology, gene- and cell-based therapies, and tissue engineering. It
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experience in battery research and proficiency in Python programming is an advantage, but not a requirement. Our offer You will join a dynamic young international research group working in state-of-the-art
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Curious? So are we. We look forward to receiving your online application with the following documents: Cover letter CV Academic transcripts Contact data for two references Please note that we
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) Ability to present results to different audiences (technical, non-technical) Solid knowledge of machine learning concepts and programming skills in Python, R, or a similar language 1-3 years of data science
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well as administrative-technical units of ETH in finding, setting up and using the right tools / technologies for their work. Tasks include developing data processing pipelines or scientific web applications, improving