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: Support the school’s public image by ensuring all visual and written materials meet university standards while enhancing the school’s public image and reputation. Social Media Management: Oversee daily
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outcomes. Key Responsibilities Develop, implement, and optimise AI/ML models (artificial intelligence/classical machine learning, deep learning, computer vision, NLP, etc.) Work with structured and
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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
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carry out experimental protocols adapted to various samples (biological, material). Ensure advanced data processing and analysis (spectra, images, mappings). Maintain, improve, and ensure the smooth
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: https://www.jobbnorge.no/en/available-jobs/job/294558/phd-research-fellow-in-deep-learning-for-imaging-of-marine-ecosystems Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/294558/phd
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Grade Level 10 Salary Range $29.95-39.10/hour Type of Position Staff Position Time Status Full-Time Required Education AA Click here for more information about equivalencies: https://hr.uky.edu/employment
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engines, energy systems, explosions, aerodynamics, fluid mechanics, signal and image processing, control systems, and robotics. The postdoctoral researcher will design and develop frugal artificial
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on a Conventional Imaging System for In Vitro Characterization of Contrast Agents. Sensors 22, 6543. https://doi.org/10.3390/s22176543 Nicolas-Boluda, A., Yang, Z., Guilbert, T., Fouassier, L., Carn, F
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will play a key role in automated wildlife identification and classification from trap camera images using cutting-edge computer vision technology. Working closely with the Principal Investigator, Co-PI
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activity on in-situ and operando study by coupled techniques: Electrochemistry/Raman, Electrochemistry/NMR, Electrochemistry/X-ray diffusion, imaging and spectroscopy. The MIEL team is consisting of 19