240 coding-"https:" "https:" "https:" "Computer Vision Center" positions in Switzerland
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Do you want to help shape the next generation of computer vision and artificial intelligence research in an international, collaborative lab environment? We are looking for an assistant professor who
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18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc position in 3D Computer Vision, remote sensing ... The Laboratory of Visual
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Position Details Position Details Job Title Coordinator, Tutoring Center Position Number 8102324 Work Modality Fully In-Person Is this request for the creation of a new Position (or the modification
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Position Details Position Details Job Title Coordinator, Tutoring Center Position Number 8102324 Work Modality Fully In-Person Is this request for the creation of a new Position (or the modification
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profile Excellent Master's degree in Computer Science, Software Engineering, or a closely related field. Strong interest in research in one or more of the areas of software engineering, programming
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intelligence, core areas of computer science that are increasingly unified by the central role of data. The new professor will contribute to the department's vision of Trustworthy and Responsible AI, the
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Bern, Institute of <b>Computer</b> Science, <b>Computer</b> <b>Vision</b> Group, Prof. Dr. Paolo Favaro Country Switzerland City Bern Postal Code 3012 Street Neubrückstrasse 10 Geofield Contact City Bern Website <b>https</b>://www.cvg.unibe.ch/home/ Street Neubrückstrasse 10 Postal Code 3012...
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18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc in ML-Based Co-Design at EPFL Mission The EPFL computer vision lab ( https
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in business administration, economics, psychology, computer science, data science, or related fields Strong interest in scientific questions related to the fields of digital marketing and technology/AI
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( VITA ) is looking for a postdoctoral researcher in the area of Generative AI. VITA research interests lie at the intersection of Computer Vision, Machine Learning (Deep Learning), and Human-Robot