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until 31-03-2024. About you: (the candidate) To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in machine learning
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Supervised Machine Learning and Reinforcement Learning. The objective is to significantly enhance battery performance and longevity. While conventional methods rely on either physics-based models or high-level
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, alongside a collaborative approach. Prior experience in computational electromagnetics modelling, the application of machine learning algorithms, and development of precise optical experiments including
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, alongside a collaborative approach. Prior experience in computational electromagnetics modelling, the application of machine learning algorithms, and development of precise optical experiments including
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Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be
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experience: Essential criteria PhD in machine learning, computer science, physics, statistics, mathematics or related field. Demonstrated developing and implementing federated learning methods (such as
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We are looking for a Research Fellow to improve the NEEDLE machine learning code for classifying astrophysical transients and manage spectroscopic follow up. The successful applicant will work with
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Are you keen to pioneer machine learning models that address the challenges of robot perception? We are recruiting a research fellow who will work on our EPSRC-funded research project on “Active
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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. The researcher would be expected to have knowledge of protein structure, protein ligand binding, machine learning and expertise in workflow development. Information generated by the project will be widely