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Field
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using the KM3NeT detectors • Data analysis from SVOM instruments as well as images from the COLIBRI telescope • Participation in KM3NeT shifts and service tasks (calibration, construction, processing), as
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endoscopy, this is the right research project for you. The PhD research project aims to explore and develop probes for ex-vivo and in-vivo applications for tissue imaging, classification and identification by
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: the Center for Nuclear Sciences and Material Sciences (CSNSM), the Laboratory for Imaging and Modeling in Neurobiology and Cancer Research (IMNC), the Orsay Institute of Nuclear Physics (IPNO), the Linear
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contributes to neurodevelopmental disorders (NDDs). Using stem cell culture, imaging, genomic, and epigenomic approaches, the successful candidate will characterize paralogue expression profiles, cellular
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Modern cyber-physical systems (CPS), such as UAVs, next-generation fighter aircraft, and command-and-control (C2) platforms, integrate digital computation with physical processes to make mission
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the risk of disease outbreaks, yet the scientific literature paints a conflicting picture. This projects aims to reveal the ‘why?’ behind the variation in diversity-disease relationships. What mechanisms
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applications from motivated candidates with passion and a strong interest in conducting research and innovation activities on the understanding of food texturisation processes and development of non-invasive
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for multimodal machine learning, combining large-scale image data with molecular profiling and clinical data. This includes, for instance, research on deep learning-based image analysis and data assimilation
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communication skills in English Ability to work efficiently, both independently as well as in a team Previous experience in the fields of soft matter, metamaterials, quantitative image analysis and programming
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Description Are you passionate about generative artificial intelligence and ships? Join us in innovating the ship design process as we know it. Job description Introduction Generative AI is transforming how