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phenomena such as velocity and homogeneity in hierarchically porous Si?based materials conduct multiscale imaging using MHz X?ray projection imaging, X?ray micro- and nano-computed tomography, and scanning
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to apply Website https://biology.ug.edu.pl/wydzial/oferty-pracy Requirements Research FieldBiological sciences » BiologyEducation LevelMaster Degree or equivalent Skills/Qualifications A candidate for the
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proper archiving protocols for processing and storing all acquired images related to procedures. Maintain patient confidentially and demonstrate exemplary customer service skills. Performs Quality Control
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and Technology in Houston, Texas. RESEARCH IN THE CBGN (https://medicine.tamu.edu/departments/cbgn ): Research in the Cell Biology and Genetics Department spans a wide range of biological processes and
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gut hormone receptor drug discovery programme. The successful candidate will help lead on in vitro pharmacology and in vivo testing and will also be involved in peptide ligand design process alongside
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engineering/M2) to have a solid background in applied mathematics, Machine/Deep Learning, in particular generative models (diffusion models, flow matching), as well as in statistical signal/image processing and
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strengths and contribute actively to their goals, including leading research programs that exploit molecular imaging capabilities to enhance the radiopharmaceutical program at UQ. These activities should
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
framework, medical image reconstruction principles and experience with high-performance computer simulations in physics would be beneficial # Experience in working with medical imaging data, especially with
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for the realistic simulation of space images. The work lies at the intersection of computer graphics, space engineering, and autonomous GNC systems, addressing the image rendering needs for lunar landing, in-orbit
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international collaborations and access to large, high-quality clinical datasets. About us The Computer Vision Group at the Department of Electrical Engineering conducts research in the field of automatic