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Plan and execute experimental workflows to achieve project milestones. Lead prototype development and performance optimization of the SERS biosensor system. Communicate research outcomes through
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visualization environments Optimize scene graphs, memory management, asset streaming, and runtime performance Contribute to research proposals and peer-reviewed publications Generative AI Integration Generative
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of dynamical systems, which will be integrated into large-scale optimization frameworks to enhance the efficiency and reliability of power grid operations. The Postdoctoral Appointee will be responsible
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: Data Curation: Collect and organize datasets along with relevant clinical information to support and drive research studies Radiomics Pipeline Development: Design and optimize robust radiomics pipelines
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implements multi-agent systems to optimize clinical decision support and patient monitoring. Rigorous testing of AI safety protocols ensures the reliability and ethical deployment of these autonomous models
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workflows to accelerate the discovery and optimization of advanced materials for energy applications. Within the SEMS group at IREC, the main objective is the implementation of an automated experimental
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to extend the operational lifespan and reduce the overall weight of wind turbines. By innovating ways to lower mechanical loads on critical components and optimizing material usage, we aim to pave the way
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technical reports and publications Contribute to the dissemination of the works and project (visits, websites, conferences, journal) Project title: Reliable AI and Data Optimization Main supervisor: Prof
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on cell cultures (2D/3D), applying interdisciplinary approaches from experimental biology and biophysics Development and optimization of experimental protocols for working with cell cultures, including
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, human factors usability evaluation, and design/visualization to develop applications that optimize combat casualty care. These projects include augmented/mixed reality systems, headset/sensor evaluations