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technical support and feedback. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 7 days ago
. The project will initially focus on the Grenoble metropolitan area, with the objective of developing methods that are scalable and transferable to other regions at the international level. This position is part
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qualification with at least one year of relevant research or work experience as a Research Assistant; (b) possess knowledge of experimental and quantitative methods, particularly discrete choice modelling; (c
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QUALIFICATIONS: • PhD in Electrical and Computer Engineering, Mechanical Engineering, Physics, or a closely related field. • Demonstrated expertise in MEMS/NEMS design and modeling, including finite element
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We are seeking to recruit a 2-year postdoctoral researcher within Human-Computer Interaction to work on the interdisciplinary project DARES: Data Quality for Responsible AI in Energy Systems funded
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 hour ago
medium. Methods of investigation may include analyses of archival multi-wavelength observations from space- and ground-based facilities, as well as new observations and analyses. Additional interests
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evaluating the effectiveness of various recharge methods. A specific focus of this component is understanding subsurface structures that can facilitate focused recharge (e.g. sinkholes, losing/gaining streams
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The Senior Computational Researcher will perform analyses using existing, modified, or newly developed tools/methods. Set up tools and troubleshoot analyses using new or modified computational
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that makes that reuse possible at scale — not just once, but sustainably, across the research community? The Davis and Krishnan labs work at the intersection of these questions. We develop ML/AI methods and
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systems using computer vision, quantitative image analysis, deep learning methods for detection, diagnosis, and quantitative analysis of abnormalities with multimodal data, including clinical and