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» Structural chemistry Chemistry » Physical chemistry Engineering » Materials engineering Physics » Applied physics Physics » Chemical physics Technology » Materials technology Researcher Profile First Stage
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» Structural chemistry Chemistry » Physical chemistry Engineering » Materials engineering Physics » Chemical physics Physics » Applied physics Technology » Materials technology Researcher Profile First Stage
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highly collaborative research environment, equipped with state-of-the-art technology platforms. Our researchers are dedicated to understanding the molecular mechanisms of health and disease, driving
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, uncertainty, missing information, and clinical signals for diagnosis, prognosis, and treatment response. The project may include patient-level embeddings from imaging, pathology, genomics, laboratory values
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imaging. Your Profile: * Master's degree in Computer Science, Electrical and Computer Engineering, Mathematics, Physics, or a related field * Strong background in mathematical and computational sciences
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the recently awarded ERC Consolidator Grant project “Engineering Multivalency for Superselective Recognition of Pathogen Targets” (EngToTarget), offering a unique opportunity to contribute to emerging approaches
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tweezers, (iv) quantitative image processing, data analysis and modeling. The project is funded by the MARIE SKŁODOWSKA CURIE ACTIONS (MSCA) Doctoral Network (DN) MOtorized NAnomachines: fundamentaLs
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the case of challenging environmental conditions, the method of multi-scale parallel single-pixel imaging has the potential to enable breakthrough advances. The “image processing and AI” group contributes
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at the interface of dentistry and medical microbiology. The goal is to establish and expand an oral biofilm engineering platform, focusing on innovative in vitro and ex vivo models (e.g. dynamic
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. Methods, 2024). The approach is still in its infancy; hence we need to drive the further development of the imaging technology, labeling agents and analysis approaches at the same time. To demonstrate