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Requirements: MSc (Research Associate) or PhD (Research Fellow) in Mathematics or Computer Science or closely related fields. Ability to design and implement advanced algorithms and data structures. Independent
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founding a clinical feasibility study at the Royal London Hospital. Background The post holder should hold relevant PhD in Signal Processing, Software Engineering, Electronics Engineering, Biomedical
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This PhD position presents a valuable opportunity to explore shared control between humans and vehicles utilizing steer-by-wire systems and to investigate how this approach can enhance vehicle
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(essential) / PhD (desirable) in Computer Science, AI, or a related field. Essential skills/ experience required include: Strong Understanding of machine learning algorithms, including deep and federation
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, including: Robot Learning: Creating algorithms that empower robots to learn autonomously from interactions and adjust to new tasks. Manipulation: Enhancing techniques for precise and adaptable object handling
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and dynamic models. Development of optimization algorithms for the unique operational characteristics of the onshore microgrids. Development energy management system including frontend and backend. Job
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-holomorphic Hilbert Modular Forms”. The central aim of the project is to develop explicit algorithms for computing with non-holomorphic Hilbert Modular Forms and using these algorithms together with theoretical
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help! We have several fully-funded open PhD and Post-Doc positions (m/f/d, E13 TV-L) in our group - which just moved from the Max Planck Institute in Erlangen to the University of Tübingen, one
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with machine learning and generative AI algorithms, with working knowledge of deep learning frameworks such as PyTorch or TensorFlow is considered a strong advantage. • Extensive experience in multi
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PhD Research Fellow in Hydrogen Safety:Hydrogen Explosions in Complex Geometries Apply for this job See advertisement UiB - Knowledge that shapes society Through robust and close interaction with