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Field
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learning from limited data, cross-sensor integration, and scalable reasoning over large-scale time-series data, with applications in disaster response, urban analytics, and environmental monitoring. The team
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researcher will investigate how AI embedded in physical entities, such as robots, vehicles, or sensors, form representations of space, motion, and context through continuous, multimodal interaction with
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the holistic understanding of space and its broader societal, ethical, and environmental impacts. Through responsible, multi-disciplinary research, including novel sensors, environment modelling
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positioning with filtered microwave wiring for qubit control and dispersive readout. Specific tasks include optimizing diamond sensor geometry, NV depth and NV-to-device standoff; developing pulse sequences
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-driven research group working at the intersection of computational genomics, clinical artificial intelligence, and imaging genetics. This position offers an exciting opportunity to develop novel algorithms
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Experience developing software with Python, R, and/or Julia Experience with machine learning and AI algorithms and tooling (e.g. PyTorch) Experience with remote sensing and open-source GIS tools (e.g. Google
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learning for cardiovascular digital twins and AI-enabled precision treatment. The postholder will develop patient-specific models that integrate multimodal clinical, physiological, imaging and sensor data
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and surrounding crust, as well as the development of cutting-edge sensor technologies in partnership with other researchers. The intended span of the project will extend across the design, installation
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Engineering, Chemistry, Biochemistry, or related scientific discipline Experience 1. Familiar with various cheminformatics, bioinformatics, data science, retrosynthesis algorithms for enzymes. 2. Experience in
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CAREER project conducted in partnership with rural educators. The project co-designs locally meaningful investigations in which students use environmental sensors, real-world data, and carefully designed