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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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monitoring and Fault Detection, Isolation, and Recovery (FDIR) for space-borne and robotic systems. The candidate will carry a leading role in this area and support PhD candidates in their thesis research
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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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oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover
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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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, 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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with biomolecular prediction, design, and simulation software. Experience with object-oriented programming and bioinformatics algorithm development. Experience with database construction. Who we
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Reduce Somatic Symptom Distress" (DEPLOY), funded by the Fonds National de la Recherche Luxembourg (FNR). The objectives of the DEPLOY project are to investigate the mechanisms of interoception-based