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Field
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
, exacerbated by climate change and evolving land-use patterns, demand a paradigm shift in risk assessment. Current operational tools, such as the National Fire Danger Rating System (NFDRS), often rely on limited
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University of Southern California (USC) | Los Angeles, California | United States | about 2 months ago
research. Empty heading Key Responsibilities Conduct independent and collaborative research in neurorehabilitation and brain-computer interface technology Design, implement, and analyze neuroimaging and
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. Work closely with collaborators to align imaging, molecular, and therapeutic validation efforts. Qualifications PhD in Computational Biology, Genomics, Neuroscience, Biomedical Engineering, or related
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advanced analytical research infrastructure, with well-integrated, high-tech prototype facilities. The position is aligned to the Science Team of Plant, Food & Sustainability. Current research is focused
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engineer or computer scientist to establish a robotic platform for autonomous experimentation in organoid culturing. You will work with life scientists to design, integrate, and establish the platform’s
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, and imaging-based omics to deconstruct brain tumour behaviours into their cellular and molecular building blocks. Our research spans the interface of molecular biology, computational modeling, and
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Computational Color Research, Image Processing, Computer Vision. Knowledge of latest generative architectures Good programming skills using Python Other merits Experience superior to that required in similar
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applications ranging from next-generation laser technology and precision material processing to laser-driven self-assembly and surgery, all the way to a long-term vision of developing an “Atom Printer” based
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of ultrasonic processing and materials characterisation. You will be specifically responsible for the testing, characterisation and critical evaluation of the as cast and prototype AM test pieces. Hence a
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Radboud University Medical Center (Radboudumc); 10 Oct ’25 published | Netherlands | about 2 months ago
Image Analysis Group (DIAG) at Radboudumc. We develop, validate and deploy novel medical image analysis methods, usually based on the newest advances in machine learning with a focus on computer-aided