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leader in the digital world. We are looking for an Assistant/Associate Professor in Video Processing and Animationwith Deep Learning to jointhe Multimedia (MM)teamin the Image, Data, Signal (IDS
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processing modules, notably with the PyNX software (http://ftp.esrf.fr/pub/scisoft/PyNX/ ); Support ESRF beamlines exploiting coherent X-ray imaging techniques; Conduct an original research project exploiting
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removed, and valuable post-process water streams are frequently discharged due to insufficient monitoring. This project will investigate the fusion of data streams from ultraviolet (UV) fluorescence imaging
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. ESSENTIAL REQUIREMENTS A PhD inMachine Learning, Computer Vision, Computer Science, Physics, Engineering, Mathematics or related areas. Documented expertise in: Machine/Deep Learning, and possibly Computer
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Fully funded Wellcome Trust Integrative Infection Biology PhD programme Immunology research includes cytokine and chemokine biology, immune cell signalling, advanced imaging technologies, and
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. Application Procedure Applicants should apply online via NUS Careers at http://www.nus.edu.sg/careers/ (Academic and Research positions). Applications must include the following documents: Cover letter (in pdf
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Title: Open Rank: Professor Series (Auditory & Vestibular Function Research) Position #00827454 – Requisition #38123 Job Summary: The Department of Otolaryngology-Head & Neck Surgery (https
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: Resume/CV PhD (if applicable), Masters, and Bachelor’s unofficial transcripts At least 3 professional references (be sure to include phone numbers and email addresses) During the application process
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 28 days ago
PhD in computer science, mathematics, physics, bio-/medical informatics or related fields, specializing in image analysis or machine learning, proficiency in deep learning techniques (CNN, VIT
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activities: developing and testing image processing algorithms and monitoring methodologies for photovoltaic panels; evaluating the performance and efficiency of photovoltaic systems under controlled and real