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Johns Hopkins Medicine - Laboratory of Human Biomimetics | Saint Petersburg, Florida | United States | 23 days ago
systems, fluidics, engineering, and computational modeling. A major focus is a newly funded NIH R01 investigating pediatric graft-versus-host disease through integrated intestinal, hepatic, immune, and
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modeling of free-electron-driven EUV nanophotonics. Working closely with experimentalists, the research fellow will lead the study of generating and manipulating EUV radiation on the nanoscale, towards
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and the African turquoise killifish to model human cardiovascular diseases, polycystic kidney disease (PKD), and cardiac aging. Our research aims to uncover the molecular and cellular mechanisms
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Location: The Francis Crick Institute, London Short summary We are seeking an ambitious Postdoctoral Fellow to develop the next generation of deep mechanistic models (DMMs; Fabrini & Fröhlich
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strong team dedicated to pioneering innovative experimental and modeling techniques that bridge the gap between laboratory-scale physics and field-scale implementation. Our mission centers on developing
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machine-learning models to investigate how brain, environment and social factors influence cognition, ageing and neurodegenerative disease. The role will contribute primarily to WP6 and related analytical
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solutions for offshore wind turbines, enabling to enhance their structural awareness, real-time reliability assessment, and predictive maintenance decision support through integrated sensing, modelling, and
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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in challenging water infrastructure environments. The Real Robotics Lab manages over £3 million in current research projects, including robotics for infrastructure inspection and repair, advanced robot
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of placental function and reduce the risk of stillbirth. This post forms part of the internationally funded Wellcome Trust programme, which aims to develop new approaches to measure, model and predict pregnancy