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Economy of Low-Carbon Technologies ETH Zurich’s new Political Economy of Technology (PET) group at the Department of Humanities, Social and Political Sciences , led by Prof. Dr. Lukas Fesenfeld, is seeking
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the Department of Psychiatry. The study focuses on using neuroreceptor imaging techniques such as PET to gain insights into the brains of people with substance use and other stress-related disorders. The Research
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Infrastructure? No Offer Description The Project is funded by NCN under the SONATA BIS-13 program. Project Title “μPPET: studying the Cosmic Rays Muon Puzzle by probing muons with J-PETs” Where to apply E-mail
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venues in machine learning, and security and privacy (NeurIPS, ICML, S&P, PETs, ESORICS or similar conferences). A successful candidate is expected to have a scientific and result-oriented approach to your
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privacy (NeurIPS, ICML, S&P, PETs, ESORICS or similar conferences). A successful candidate is expected to have a scientific and result-oriented approach to your work. A very good command of
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data with advanced methods such as flow cytometry, confocal microscopy, MRI/PET imaging and bioinformatics tools. Work with team members across different disciplines such as chemistry, biology
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Philips 3T and 1.5T scanners as the main platform, while with additional access to state-of-art Siemens, GE scanners, as well as a United Imaging PET/MRI system located nearby—providing an ideal setup
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-dedicated whole-body 3 Tesla Siemens Prisma platform, as well as a highly accurate real-time optical system to track head motion. Other resources within the Department are a PET-MRI, a human MRI-guided
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to characterize and test these including in animal models is advantageous. Characterizing mechanism(s) is advantageous. Other skills of interest include familiarity with imaging, such as with PET, MR, and optical
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in animal models. Other skills of interest include familiarity with imaging, such as with PET, MR, and optical imaging. The candidates will have the opportunity to work with others and independently