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-on experience, contribute to groundbreaking projects, and explore career opportunities. Whether it’s advancing energy technologies, enhancing cybersecurity, or addressing new horizons such as fusion
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-quality research in the field of AI, focusing on multi-omics data analysis and fusion for precision medicine Design and implement innovative AI algorithms and models to solve complex problems Collaborate
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: generative models for explainable patient representations, multimodal data fusion, vision-language models, and anomaly detection. Also includes student supervision and EU project coordination. Requirements
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, construction sites, aerial inspection of aging infrastructure, multi-robotic search and rescue, multi sensorial fusion and multirobot coordination, including multirobot perception, decentralization and mission
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the cytoskeleton and associated signalling pathways regulate viral exocytosis. Immediately after virion fusion with the plasma membrane, but prior to the induction of actin polymerization, vaccinia recruits septins
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the VENUS-F fast-neutron subcritical reactor, coupled together via a tritiated titanium target placed at the center of the reactor, which converts deuterons into neutrons via the deuteron-tritium fusion
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into neutrons via the deuteron-tritium fusion reaction. The GENEPI-3C accelerator has recently been upgraded to generate the intense and stable neutron source essential for the SPATIAL project's measurements
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Responsibilities Research & Technical Development – 35% Develop, test, and deploy AI/ML models for: Flood forecasting (nowcasting and short-term prediction) Rainfall estimation and downscaling Remote-sensing fusion
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 3 months ago
. Description: NASA Ames Research Center is looking for a postdoctoral assistant with research interests in low-cost sensors and/or data fusion to join our Trace Gas measurement group. This will involve working
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whole-genome and exome sequencing. The group also integrates multi-omics data through nonlinear data fusion approaches and leverages pre-trained DNA language models as unsupervised feature extractors