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intersection of computer vision, AI, and marine biology. This project aims at developing AI-based methods to transform underwater imagery from a simple visual record into a quantitative tool to measure species
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Job Description Are you passionate about computer vision, deep learning, and multimodal AI, and excited to shape how humans and machines communicate? Do you want to help build the next generation of
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Postdoctoral Associate - Developmental Programming of
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mechanisms underlying this developmental programming. Current studies focus on how bile acid signaling during early postnatal life establishes adipose tissue architecture and function, including effects on
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LLMs for visual question answering and grounded reasoning, including graph visual RAG publish and present your results at leading machine learning and computer vision venues Project supervisors
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activities We are looking for candidates who have: A strong background in computer vision and machine learning Experience with deep-learning frameworks such as PyTorch Strong programming and
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computer vision, ideally segmentation and/or quantification of micro-CT data experience developing deep learning-based image analysis methods experience with scientific Python programming experience
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research in leading journals and conferences. Attract competitive research funding in Denmark and Europe. Teach and develop courses in parallel computer systems, parallel programming, and HPC, and supervise
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. About the Role Come join the Computer Science team! Our Ph.D. Program Administrator is the primary point of contact for all aspects related to the Computer Science Ph.D. programs and populations
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A1096 Working Title PhD - Research Assistant - Computer Science Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer Science