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immune markers that predict successful vaccine boosting, and to reveal basic mechanism of vaccine boosting during B cell depleting therapy. You will be based in the immunology laboratories of Associate
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validate decision-support tools for energy-aware planning, predictive maintenance, and resource optimization. -Develop and test multi-agent and distributed control systems using technologies such as IEC
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The Division of Vehicle Safety studies accidents, driver reactions, and injury mechanisms. The Injury Prevention group develops Human Body Models to predict injuries for the whole population, in collaboration
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genomic data, the lack of advanced analytical frameworks has hindered forensic efforts. This project aims to develop and apply AI-based methods to predict the origin and dispersal patterns of genomic
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high-frequency device behavior Use these models to predict amplifier performance and provide feedback for circuit design and Process Design Kit (PDK) development Collaborate with industrial partners
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Pharmacology (KKF). The overall aim of the project is to develop improved diagnostic and predictive tools for hematology and clinical immunology. The project is a collaboration with Sofia Nyström ’s group
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prediction and personalized treatment in child and adolescent psychiatry, applying advanced methods in epidemiology, pharmacoepidemiology, and AI. As part of a well-funded and internationally collaborative
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methods to predict the origin and dispersal patterns of genomic sequences, with applications ranging from biogeographical mapping to paleogenetic reconstructions. The candidate will work jointly with Dr
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experimentally verified results is a necessary: - Autonomy with collaborative intelligence - Distributed task and motion planning - Predictive collaboration with heterogeneous teaming - Multi-agent navigation in
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circularity in complex aerospace systems. Via Model Based Systems Engineering (MBSE) we think that it would be possible to successfully predict the effects of proposed design changes on circularity and