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03.08.2026, Academic staff We are recruiting a postdoctoral researcher / project lead for a cross-border research project (funded by SNSF’s & DFG’s WEAVE scheme) on Virtual Reality, jointly hosted
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& Advantages. Explore & Engage Learn more about Baylor and our strategic vision, Baylor in Deeds . Also, explore our great hometown of Waco and the many opportunities to engage locally. If you are new
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and authorities interested in improving civic participation. The research in this postdoctoral position focuses on text and image feature learning for news ecosystems, analysing the complex
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Learning (ML), Deep Learning (DL) particularly in Natural Language Processing (NLP) and Computer Vision (CV) - strong record of publications - Excellent communication skills and ability to work in a fast
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Contract type: Fixed term for 12 months Hours: Full-time About the role We are seeking a Full-Time Postdoctoral Researcher in Computer Vision CT image analysis to join the Nuffield Department of Surgical
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or deep learning reconstructions). Knowledge of radial data acquisition strategies, artifact mitigation methods, and their use in parametric imaging (e.g., T1/T2/T2* mapping). Preferred Qualifications
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Join the Antigen Evolution & Design Lab as our first postdoctoral researcher and help define the future of AI-driven antigen evolution and vaccine design. We are seeking a highly motivated early
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
computer vision and/or audio(-visual) machine learning (e.g., multi-object tracking, speaker/source localisation, multimodal fusion). Experience with deep learning frameworks (PyTorch or equivalent) and
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research and implementation. You will also develop novel algorithms using state-of-the-art computer vision and machine learning techniques (segmentation, multimodal AI, foundation models, agentic frameworks
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Number: JR96084 Location ST. LOUIS, MO 63110 Position Summary A Postdoctoral Researcher position is available in the tumor immunology laboratory of Dr. Sana Karam, Professor of Radiation Oncology at WashU