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. medical images and functional data) that are representative of the system as a whole. Moreover, the new assistant professor will be supported to ensure the translation of these diagnostic and prognostic
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healthcare, contributing to wasted resources and suboptimal patient outcomes. It encompasses a range of practices, including unnecessary prescriptions, diagnostic tests, imaging, screenings, and medical
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of faces images; Training image classification models to classify faces on the basis of identity and other features; The design and administration of social cognition experiments to examine effects of model
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materials at the micro-to-nano-scale. To this end, the lab has developed a technique for imaging spin waves – microscopic waves in magnetic materials - based on magnetic sensing with nitrogen-vacancy (NV
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addition, this material needs to have certain physical and chemical properties to ensure both biocompatibility and good contrast for real-time imaging during the procedure. The goal of this project
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components: Machine-learning development – creating image recognition models to identify photographed butterfly specimens, integrating unidentified samples with validated references in collaboration with
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on narrative and visual media and takes a comparative, multilingual, and media-specific approach. The subproject 'Images of EcoViolence' will focus on the aesthetic, political, and affective dimensions
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of the prototype needs to be defined in such way that the proof of concept is demonstrated. The prototyping needs to include InP and CMOS chips, as well as integrated solution. The characterization of the prototype
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non-coding variation (e.g. promotors, enhancers, TFBSs, TADs, lncRNAs, etc) - Developing AI models for classifying genetic variants based on functional impact that are explainable and clinically
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comprehensive datasets on eye diseases which includes multimodal imaging, genetics, lifestyle factors, and blood biomarkers, and have close collaboration with international consortia. The TU Delft has