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student-scholarship holder at the Poznan Doctoral School of Institutes of Polish Academy of Sciences
for the increased aggressiveness of cancer cells. The project will provide the first comprehensive picture of the changes occurring in lung cancer cells under the influence of hypoxia and will explain how
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to contribute to cutting-edge research in flat optics, with applications in high-resolution imaging, 3D depth perception, and compact optical devices. Key objectives: 1. Design and Simulate Achromatic
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Observatory (Part Time) Posting Number req26714 Department Steward Observatory Department Website Link https://astro.arizona.edu/ Location To Be Determined Address USA Position Highlights The University
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deliver a prototype of a 3D-printed or casted bioactive stent with proven tissue compatibility and mechanical stability, paving the way for improved cardiovascular implants. The Opus LAP project includes
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of world-renowned researchers and educators have access to a state-of-the art core facilities and expertise, including for high-throughput screening, multimodality in vivo imaging, proteomics, integrative
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to enable 3D imaging and calibration-free mass concentration mapping. The fellowship holder will then have the opportunity to investigate the uptake of fatty acids by living 3T3-L1 model cells and detection
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first-choice institution. Required Qualifications: MFA with a demonstrated expertise in 3D/Sculpture Evidence of an active professional record Teaching experience at the university or college level
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We seek a Research Fellow to advance
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Institute of Technology The Łukasiewicz Research Network – Krakow Institute of Technology (https://kit.lukasiewicz.gov.pl/ ) is a member of the Łukasiewicz Research Network (https://lukasiewicz.gov.pl/en
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
translational statistics. Depending on their profile, the successful candidate will work on one of the following strands. • Bespoke modelling of tumour metabolic function using 3D and 4D imaging data • Cancer