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to several projects to improve radiation tolerance and reduce temporal noise of CMOS image sensors. Together with the supervisor (prof. Meynants), you will guide PhD researchers in image sensor design and
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experience with coding in C++, python/matlab. GPU programming is a definite plus. You have experience in applying deep learning to solve computational imaging problems. Experience with inverse problems such as
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(-renewable) Profile: PhD Reproductive medicine background Experience in immunohistochemistry, molecular biology (miRNA) and cell & tissue imaging Autonomy in statistics and data management FELASA-B certificate
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and ultrasound imaging. The nanodroplets are injected in the bloodstream, through which they reach the tumour, where they vaporize into echogenic microbubbles when exposed to the radiotherapy beam
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recapitulating neural-microglia interactions, as well as establishing fluorescence lifetime imaging microscopy (FLIM) approaches and analysis pipelines to perform non-destructive monitoring of neuronal function
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and teaching in the field of artificial intelligence (AI) of images and multimodal data is paramount. The university is inviting applications for a full-time position of Professor of Artificial
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sense and respond to tumor-associated signals. The research will involve fluorescence-activated cell sorting (FACS), atomic force microscopy (AFM), and advanced imaging approaches to characterize immune
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imaging microscopy (FLIM) approaches and analysis pipelines to perform non-destructive monitoring of neuronal function, DAMs, and multiplexing this with other cutting edge analysis techniques
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recapitulating neural-microglia interactions, as well as establishing fluorescence lifetime imaging microscopy (FLIM) approaches and analysis pipelines to perform non-destructive monitoring of neuronal function
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-heterogeneous/packaging applications (3D integrated systems, image sensors, photonics, biomedical devices, quantum computing,...). For this, you work mainly in the cleanroom, and you are supported by experienced