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Sintorn, Professor in digital image processing, at the Department of Information Technology and conducted alongside researchers developing computational methods with a particular focus on deep learning and
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. David Marlevi, Prof. Ulf Hedin, and Dr. Ljubica Matic to improve stroke risk prediction for patients with carotid atherosclerosis using a multidisciplinary combination of data-driven imaging
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project , the collaborating SNF project BeyondCloudLab (4 PhDs, 2 PostDocs) brings together a team including Prof. Lohmann and Dr. Henneberger (ETH) working on cloud microphysics and seeding, Prof. Mohr
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) program. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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of image analysis and machine learning with a minimum of 90 higher education credits. Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural
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intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for
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of Prof. Charlotte Sleight and Prof. Massimo Taronna at the University of Naples Federico II. A background in quantum field theory and string theory is desirable. Applicants should submit a CV and official
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skills in English. Knowledge of Dutch will be considered an asset. Selection process For more information please contact Prof. dr. Celine Vens, tel.: +32 56 24 64 98, mail: celine.vens@kuleuven.be
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international team with a high Postdocs to students’ ratio. - Operate state-of-the-art technologies and instruments, such as the Chromium (10x Genomics) for single cell sequencing, high content imaging system
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Fellowship at LMU Munich, and a postdoc position at RMIT University. My nanophotonics research seeks to uncover the underlying physics in structured light-matter interactions at nanoscale. We aim to develop