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Postdoctoral Project Research Scientist – Machine Learning, Machine Vision & Data Integration Reporting to: Andrea Serio – Group Leader Contract term: This is a full-time, fixed term (2-year
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& Security, Big Science, Biotechnology and Fintech. Main function and scope: We are looking for Senior Computer Vision Engineers / Researchers with proven experience in advanced perception algorithm
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Short summary We are seeking a Postdoctoral Project Research Scientist to lead machine learning, machine vision and data integration work across the VISIBLE platform. This is a rare opportunity to
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the position of: Lecturer for the Module M05 'Computer Vision & Perception' 10 ECTS (18%) Start date: August 1st, 2027 Module completion: each autumn semester (beginning of August to end of January) Description
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PhD Studentship: Efficient Long-Horizon Task Execution in Physical AI (deep learning, computer vision, robotics) Number of awards: 1 Award information: Fully funded PhD studentship covering Home
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Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova | Italy | 3 months ago
7 Jul 2026 Job Information Organisation/Company Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application...
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applications for the position of Research Fellow . The Research Fellow (RF) will play a key role in advancing the research mission of NTU by supporting cutting-edge projects in computer vision, machine learning
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for data-efficient vision foundation models. Foundation models in computer vision currently rely on massive datasets and brute-force scaling. This leads to high data requirements, hidden biases, limited
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than 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 Intelligence
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Artificial Intelligence and Data Science, with a focus on computer vision. The successful candidate will bring expertise in one or more of the following areas: Vision-Language Models and Multimodality