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Field
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learning has strong potential for computer vision, from hyperbolic image segmentation [2] to hyperbolic tree embeddings [3] and hyperbolic vision-language models [4,5]. [1] Nickel, Maximillian, and Douwe
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organizational levels of the brain – from molecular and cellular processes to complex neuronal networks and behavior. In association with the SFB 1436, Neural Resources of Cognition (supported by the German
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, MONAI) Strong interest in image analysis / computer vision and pattern recognition, including but not limited to biomedical applications Strong interest in applied machine learning, including but not
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students only Entry date: 12th January 2026 Closing date: 4th December 2025. Interviews will be held via MS Teams on Monday 15th December. We are looking to recruit a high-quality PhD candidate
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PHD DEVELOPMENT AND EXPERIMENTAL VALIDATION OF UNDERGROUND SAND-BASED THERMAL ENERGY STORAGE SYSTEMS
cycles. You will contribute to the design, construction, and operation of an upscaled SMTES prototype (20-foot container scale) to investigate realistic thermal behavior, temperature stratification, and
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or equivalent Specific Requirements Item 01: Academic diplomas (degree and master), related to data & image processing (punctuation: 25) Item 02: Enrolled in a PhD program related to Applied Geotechnologies
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of Europe’s largest university hospitals, and a high quality of life in a city consistently ranked among the most liveable in the world. Open PhD Projects in the current PhD call: Artificial Intelligence
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areas of nanoscience and nanotechnology. Job title: PhD Student in Computational Materials Science Research area or group: Theory and Simulation Group Description of Group/Project: The Theory and
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3 Dec 2025 Job Information Organisation/Company Computer Vision Center (CVC) Research Field Physics Mathematics Computer science Researcher Profile First Stage Researcher (R1) Positions PhD
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consider the use of ultra-stable photonic and Quantum timing sources. The project covers UK tuition fees and the standard UKRI PhD stipend and it is co-funded by the Quantum Hub in Sensing, Imaging and