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leads to persistent antigen exposure and altered adaptive immune priming. To address this, we have developed two novel engineered neoantigen models that enable precise dissection of antigen-specific
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, robust, and trustworthy robotic technologies. Your research will span core challenges such as robot control, decision-making under uncertainty, multimodal information fusion, and foundational models
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and CH4) from headwaters, and use of machine learning and process-based model for large scale assessments and projections of the land-water carbon cycle to variation in climate conditions. The detailed
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topic from our list of PhD-positions , or you can come up with a topic-suggestion which would also fit within our research areas . Ýour qualifications as an Ingenious Partner: Master’s degree (Students
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9th March 2026 Languages English English English The Department of Electric Energy has a vacancy for a PhD Candidate in Multi-market modelling of power systems with large amounts of wind power Apply
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learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI
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within a democratic and regenerative governance model. The project focuses on hybridisation, sustainability, resilience, and democratisation, and provides interdisciplinary training for Doctoral Candidates
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people but not others. Better ways to match prevention to the individual are needed. This PhD addresses one defined question: why some people with AF develop left atrial thrombus and embolic events while
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transformations. The project investigates a hybrid approach that combines deep learning with grammatical inference to develop models that are interpretable, efficient, and mathematically verifiable while leveraging
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environmental triggers, such as common viral infections and microbial exposures. With a strong translational focus, the group integrates cutting-edge molecular, cellular, and model systems to bridge fundamental