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Science, Computer Engineering, Artificial Intelligence, Physics, Mathematical Engineering, Mechanical Engineering or similar. Relevant skills: Strong background in machine learning/data science. Deep knowledge
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Applications should include: Cover letter indicating your motivation for this position, relevant experience and future interest Curriculum vitae List of publications and projects Copies of diplomas Early application is highly encouraged, as the applications will be processed upon reception....
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
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, based on our recent deep learning biomechanics modelling work, you will perform cardiac biomechanical modelling to evaluate fetal heart function, to refine patient selection criteria for a fetal heart
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in continual learning settings. The core focus is on leveraging Reinforcement Learning (RL) to make the training and deployment of LLMs more computationally and sample efficient. This approach aims
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-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models for complex data, including temporal data
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to the 30th September 2026. We are looking for outstanding machine learning researcher to join the Torr Vision Group and work on AI Scientists: systems that use foundation models, AI agents, and robotics
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working with machine learning for batteries, with
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will address the intricate challenge of enabling AI to learn continuously and collaboratively from wearable or mobile sensor data without compromising user privacy. Your efforts and collaborations with
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: 280812534 2025 Postdoctoral Research Associate - AI/machine learning for analytical and forensic chemistry D-25-LPB-00006 | Research | Ludwig Princeton Branch The Skinnider Lab at Princeton University aims