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Field
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Systems, or a related field. Strong analytical and critical thinking skills. Strong machine learning (ML), computer vision (CV), large language models (LLM) for quantitative data, texts, images, and sensor
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candidate will support experimental research focused on the synthesis and characterization of photo-activated semiconductor materials. Responsibilities include developing and testing UV-activated gas sensor
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characterization of photo-activated semiconductor materials. Responsibilities include developing and testing UV-activated gas sensor prototypes, conducting laboratory and field evaluations, and analyzing
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of seismic methods and numerical simulations, Good PC and programming skills (e.g., with Python, MATLAB), Experience with measurement techniques and field measurements using sensor technology (ideally using
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with a wide network of stakeholders, and explore new avenues for medical applications. For ongoing work and publications on this project, please see our website: www.cnnp-lab.com . This is a 12-months
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initiatives at SWIMS. The ideal candidate will have expertise in IoT, sensor development, ecological monitoring, and advanced ecosystem imaging methods such as photogrammetry. The officer will collaborate
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experience with maritime systems, radar/sensor fusion, or industry engagement is desirable. What we offer For information about our rewards and benefits please visit https://www.ucl.ac.uk/work-at-ucl/reward
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and its experiments will be upgraded in the mid-2020s to deliver 3000/fb by 2037. Norway participates in the ATLAS experiment and is contributing to build 3D silicon pixel sensors for the Inner Tracker
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The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory
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), Deep Neural Networks. Probabilistic Machine Learning and Time-series Analysis. Industrial applications of AI (energy, process industry, automation). Software development experience in teams. Programming