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Field
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classification of aluminium scraps and contaminants. Design and validate algorithms for multi-sensor data interpretation and sensor fusion. Conduct laboratory experiments on scrap characterisation and sorting
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-based instruments for applications across a wide range of disciplines including adaptive optics, spectroscopy, biophysics, remote sensing, laser communications, and fusion diagnostics. We host the ESA
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-based instruments for applications across a wide range of disciplines including adaptive optics, spectroscopy, biophysics, remote sensing, laser communications, and fusion diagnostics. We host the ESA
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Post Doctoral Researcher / Senior Post Doctoral Researcher - School of Biochemistry and Cell Biology
, such as fusion gene identification and somatic short-variant calling and interpretation. Through close collaboration with wet-lab scientists and the industry partner, the candidate will build robust
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fusion research within an international and collaborative environment, with a strong emphasis on experimental and control activities in the SMART tokamak, one of Europe’s most innovative compact fusion
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management of sensitive research data Experience applying machine learning, deep learning, computer vision, time-series or sequence modeling, or multimodal data fusion to person-level driving, safety, health
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mammalian cell culture, molecular cloning (Gibson, In-Fusion, and restriction enzyme cloning), primer and construct design in SnapGene, site-directed mutagenesis, and molecular knockout. Experience in mass
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 15 days ago
Scaling: Developing data-fusion algorithms that combine VSWIR spectroscopy with active radar/lidar, thermal, and atmospheric retrievals to scale plot- and tower-based flux measurements to pan-tropical
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 15 days ago
environments, wildfire-related structural change, and post-fire recovery. The participant will also research multimodal data fusion, collecting and analyzing data to explore how LiDAR-based observations can
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remodel their internal structures to drive tissue growth, function, and regeneration. We focus particularly on the mechanisms underlying cell-cell fusion, using skeletal muscle as a primary model system