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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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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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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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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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] * Background of the recruitment and description of the project Understanding the meaning of videos and images is a central research topic in the fields of computer vision, pattern recognition, machine learning
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Computer Science or a related field, with a focus in databases, data systems, theory, or algorithms. Strong publication record in top-tier venues. Solid background in one or more of the following: Query processing
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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
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materials science, structural biology, chemistry and nanotechnology. NanoLund (http://www.nano.lu.se ), formerly known as the Nanometer Structure Consortium, founded in 1988, supports and coordinates
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 1 month 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