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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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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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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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dynamic X-ray imaging. X-ray imaging is a powerful method for analysing functional morphology due to its capability to visualise internal structures. Recently, dynamic quantification of moving and/or
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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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postdoctoral researcher - molecular mechanisms T-cell leukemia - Diagnostische Wetenschappen (28449)
imaging, flow cytometry, proteomics, RNA Seq and high throughput genetic analysis, single cell analysis platforms, SPF animal facility and in vivo imaging. YOUR TASKS You are involved in research
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will be spent on academic research. You work with other researchers in SBO-project PICASSO, where the interaction between fluid mechanics and moving/deforming structures is coupled to control and image