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video detection, statistical detection models and mathematical models of image processing; (iii) demonstrate experience in academy-industry projects; (iv) interest in publishing high-quality journal
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artificial intelligence and machine learning across several domains of physics and astronomy. The successful candidates will develop an integrated image-processing pipeline and apply it to three
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artificial intelligence and machine learning across several domains of physics and astronomy. The successful candidates will develop an integrated image-processing pipeline and apply it to three
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: Analyse existing geological data and digital terrain models to refine fault locations ahead of trenching Collaborate with in-house experts in geophysical and CPT techniques to conduct preliminary surveys of
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Image Processing o Machine Learning, Deep Learning, and Reinforcement Learning o Large Language Models (LLMs) and Multimodal Models o Generative AI, Agentic AI, Physical AI, and Embodied AI o
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at the University of Oslo. The position is placed in the Digital Signal Processing and Image Analysis group (DSB), Section for Machine Learning, Department of Informatics at the University of Oslo. The
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and Image Processing Machine Learning, Deep Learning, and Reinforcement Learning Large Language Models (LLMs) and Multimodal Models Generative AI, Agentic AI, Physical AI, and Embodied AI Trustworthy AI
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Posting Details Position Details Title Postdoctoral Fellow - AI-Enabled Immune Digital Twin Workflows, Data Assimilation, and Ensemble Updating Appointment Status Non-Tenure Track Department IU
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research concerns sequential decision making in digital health, including experimental design and reinforcement learning algorithms. We combine statistical methods with online reinforcement learning
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directly with implementing and validating the research using AI, Robotics, 3D Printing and Digital Twins. We are looking for a Research Fellow to conduct the research for the project entitled “Manual