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Field
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information is contained in these data and develop the computational and statistical approaches needed to extract it. Working closely with experts in imaging technology, algorithm development, biology, and
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by researchers and imaging experts around the world. We value excellent software as a scientific contribution in its own right. You will work at the intersection of software engineering, computational
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biology / Immunology laboratory experience, such as: Flow cytometry and FACS, immunofluorescence microscopy/imaging, cell culture, tumour cell killing assays, tissue processing, etc. Molecular biology
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knowledge of MR physics Experience with signal processing and/or image processing Experience with Linux systems and High Performance Computing Good oral and written presentation skills in Norwegian
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fracture mechanisms in heterogeneous or composite materials. Development and implementation of advanced constitutive models and computational mechanics methodologies. Processing and analysis of experimental
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work duties after employment. Required selection criteria You must have a relevant Master's degree in physics, mathematics, biomedical engineering, computer science or equivalent. Your course of study
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an AI-based image and video processing pipeline dedicated to these novel multi-optics systems. This PhD research is embedded in the project HARMONY_SBO, funded by Flanders Make, the Flemish strategic
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vision, robotics and radar, such as NeurIPS, CVPR, ICRA, IEEE IV and RadarConf. For your research, you will have access to extensive computing resources at TU Delft, ranging from personal workstations and
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and collaborative group that spans clinicians, pathologists, computational and cancer biologists. You will receive extensive training in cancer pathology, highly multiplexed imaging, and predictive
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an image. Modern inverse freeform design methods compute surfaces that convert a given source light distribution to a desired target light distribution. These can be used to guide the design process for