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Location: United Kingdom (Remote or Belfast, NI Office based) Position Overview We are seeking a Senior Machine Learning Researcher with deep expertise in computer vision and hands-on experience
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), consists of two main parts. First, the candidate will develop machine learning models aimed at improving the follow-up of neurocognitive function in critically ill children after discharge from the intensive
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Description Are you interested in developing novel scientific machine learning models for a special class of ordinary and differential algebraic equations? We are currently looking for a PhD
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, pre-operative determination via endoscopies and imaging remains unreliable for patient selection. The objective of this study is to develop an image-based machine learning prediction model to assess
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Optimization and Machine Learning for Hydrogen Technologies The Natural Computing Group (NACO) at LIACS, Leiden University, is seeking a highly motivated researcher to join our cutting-edge project on AI tool
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) are looking for a: PhD Candidate on Multi-Objective Optimization and Machine Learning for Hydrogen Technologies The Natural Computing Group (NACO) at LIACS, Leiden University, is seeking a highly motivated
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of Immunology) of the University Medicine Oldenburg to perform analyses using machine learning methods and to establish multimodal prediction models in research, teaching, and patient care in the long term
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FAU DCN-AvH. Chair for Dynamics, Control, Machine Learning and Numerics | Germany, | Germany | about 2 months ago
5 Mar 2025 Job Information Organisation/Company FAU DCN-AvH. Chair for Dynamics, Control, Machine Learning and Numerics Department Department Mathematik Research Field Mathematics Researcher Profile
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operating point and environmental turbulent flow conditions. Understanding of all the former conditions is critical to inform industry about the performance of tidal turbines and to develop a machine learning
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Doctoral Network, we invite applications for up to two PhD positions working on challenging theoretical and practical problems in Safe Machine Learning. Specifically, we are looking for students to tackle