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breeding program. This requires a Ph.D. with excellent knowledge and skills in drones / UAV / UAS data collection, processing, statistical analyses, AI (machine learning, deep learning) and subsequent
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an innovative technology through the complete development process: Physical modelling → CFD simulation → prototype development → experimental validation → scientific publications and technological innovation
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systems. Spectroscopy, hyperspectral imaging, remote sensing, IoT, and process measurements are important data sources within this broader framework rather than requirements defining a single experimental
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models (rodent handling/surgery experience a plus). ● Familiarity with quantitative/computational approaches (e.g., R, Python, image analysis, statistics) is a plus but not required. ● Ability
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Technology (RBIFCT), by the Research Fellow Statute (EBI), by the Norms for Grant Assignment and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording, and
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colorectal tumors. Specifically, the work will focus on optimizing 3D X-ray virtual histology methods by phase-contrast micro-CT and corresponding image processing techniques also with view on combining it
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-photon imaging setups. Through close collaboration with Dr Min at the Amsterdam Leukodystrophy Center, you will have the opportunity to investigate myelin remodeling in clinically relevant disease models
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of an H-1B visa requiring consular processing; other visa sponsorships (including H-1B visas not requiring consular processing) may be available, as appropriate. Qualifications Essential qualifications A
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of high-throughput imaging and molecular data (i.e., genome, transcriptome, epigenome, and more). The methods would be able to systematically integrate biomedical/biological knowledge to improve
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The University of Chicago's Department of Radiology is searching for a Research Assistant Professor or Research Associate Professor to join the nuclear medicine and molecular imaging instrumentation laboratory in