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technology is successfully offered via wafer-level prototype fabrication services to customers in telecom, datacom, computing, bio-medical, and sensing applications. Among the major building blocks within a
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Arabidopsis lines. to use advanced fluorescence confocal microscopy coupled to microfluidics to image and quantify the relative whereabouts and dynamics of key components of the cell wall integrity pathway, in
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strategic use of political disinformation accusations across time and space, and contribute to high-impact publications. You will collaborate with other project members (PhDs, postdocs, principal and co
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thorough and advanced characterization of the materials. As a postdoc you will also hold lab management responsibilities and be in charge of the operation and functioning of several analysis instruments. You
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of the materials. As a postdoc you will also hold lab management responsibilities and be in charge of the operation and functioning of several analysis instruments. You will be involved in guiding master and junior
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, you are involved in research activities where Die to wafer bonding is required (3D integrated systems, image sensors, photonics, biomedical devices, quantum computing,...). More specifically, you will
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to image and quantify the relative whereabouts and dynamics of key components of the cell wall integrity pathway, in different genetic background and different experimental conditions. to identify novel
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, postdocs, principal and co-investigators). You will participate actively in internal seminars of the research group and Department as well as international conferences and workshops. You will carry out a
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image sequences. As a benchmark, end-to-end deep learning models will be developed using raw image data. In parallel, shallow learning models (e.g., Gaussian processes) will be explored based on insights
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the genetic and clinical variability of PRPH2-IRD by studying a large patient cohort with detailed genetic analysis and advanced imaging techniques. The project will focus on identifying genotype–phenotype