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and implement Bayesian graph neural networks and convolutional neural networks as surrogates for high-fidelity biomechanical models Quantify and propagate uncertainty, and develop strategies for model
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single cells make decisions during differentiation, in particular during development. Building on Bonsai, a Bayesian framework that leverages tree structures for distortion-free exploratory analysis
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support from the Hector Foundation II. The aim is to carry out excellent translational cancer research in the fields of precision oncology, cancer prevention, early detection, and survivorship. The newly
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potential in both research and clinical diagnostics. Objectives. As a post-doctoral researcher, you will drive the development of a robust, end-to-end detection pipeline for cytokines in plasma and other body
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of detecting and characterizing interference/jamming events; as well as mitigation techniques involving multi-antenna signal processing (direction of arrival estimation, nulling, beam-steering, etc) and/or
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, or related field Proven experience in omics data analysis Knowledge of Bioconductor/R for biological data analysis Experience in object-oriented software development and building of modern web-based
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), and multi-robot cooperation. Researchers with an interest in non-terrestrial robotic manipulation will find a young and vibrant team of over 23 members fostering a collaborative atmosphere (2 Professors
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, thereby contributing to the growth of the country's cybersecurity industry and reinforcing the European Union's strategic autonomy. The project objective is the definition of techniques and tools
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The Microbiome Dynamics (MBD) department contributes, using computational methods, to the development of personalized microbiome-based strategies to aid in the detection, monitoring, treatment, and prevention
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emulators), including real time or hardware in the loop validation Plan and execute measurement campaigns and lab experiments for key J CROSS use cases, e.g. remote ranging, SAR imaging, object detection, and