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to the ERC-PoC project NOSHAKE (a New paradigm fOr forecaSting injection-induced eartHquAKEs), funded by the European Research Council (ERC, https://erc.europa.eu/ ). The candidate will perform her/his
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fellowship-program offers excellent researchers who have recently completed their PhD the chance to continue their research career at CTU. Fellows receive a two year fellowship and become members of a team led
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representation learning. You have strong programming skills, especially in Python, and preferably experience with PyTorch. You have a track record of publishing in top image processing / computer vision journals
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, primarily functional Magnetic Resonance Imaging (fMRI), combined with behavioural, cognitive, and affective measures. The successful candidate will join an interdisciplinary research team working
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the etiology of Cancer development, focusing on how deregulation of DNA motor proteins contributes to this process. Significant experience in protein purification and biochemistry is necessary for this position
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
the group of Dr. Eric Muir at the University of North Carolina at Chapel Hill in the Department of Radiology and the Biomedical Research Imaging Center. The successful candidate will develop and optimize
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, global ocean circulation and height systems. In addition, the temporal variations of gravity and the geoid help to measure mass exchange processes in the Earth system. Knowledge about the time-varying
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of Laws of 2024, item 1571, Article 113 as amended) and who meet the following requirements: PhD in physical or chemical sciences or materials engineering. Fulfilled formal requirements regarding the date
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biology. More details on the processing of personal data are available on the website: https://www.ibt.cas.cz/en/about-the-institute/official-noticeboard/gdpr/ Where to apply Website https://jobrxiv.org/job
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. ESSENTIAL REQUIREMENTS A PhD inMachine Learning, Computer Vision, Computer Science, Physics, Engineering, Mathematics or related areas. Documented expertise in: Machine/Deep Learning, and possibly Computer