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decisive importance for lifetime performance modelling. The key challenges are the robust integration of a sensor system in the structure and the analysis of measured signals, which are typically strongly
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, digital pathology, whole-slide image analysis, self-supervised learning, foundation models, multiple-instance learning or high-performance computing is an advantage. Prior knowledge of pathology or breast
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System Operation and Analysis (PSOA) at IEL, where we foster an open, inclusive, and collaborative working environment. Our working environment is characterized by a friendly, supportive atmosphere, with
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embedded within the Quantitative Healthcare Analysis (qurAI) group and conducted in close collaboration with the CARA Lab and clinical partners in the Netherlands and abroad. You will work with large, multi
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of experiments, optimisation of research procedures, and analysis and interpretation of experimental results; maintaining laboratory and project documentation and preparing reports on the work performed
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control with Git, typesetting with LaTeX, use of Linux computers; Experience with convolution and transformer-based neural networks for image analysis; Experience with graph-based methods, and graph
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constraints into the theoretical analysis. Provide design guidelines for future experimental implementations of quantum repeater networks, specifying hardware requirements and performance benchmarks. Contribute
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while improving long-term performance. The project offers a unique opportunity to gain advanced training in rheological and dynamic mechanical analysis, solid-state NMR, and time-resolved structural
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Ballester (TAGC, Marseille). The student will benefit from the complementary expertise of the LBBE in evolutionary and comparative genomics and of the TAGC in regulatory genomics and large-scale functional
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Job related to staff position within a Research Infrastructure? No Offer Description The design process of complex systems must guarantee not only the functional correctness of the implemented system