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of short-axis MR image sequences. Training You will be based at the Vision Computing Lab within the School of Computing Sciences, which specializes in deep learning for medical image analysis and neural
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biosynthetic gene clusters and other molecular features relevant to natural product drug discovery Validating machine-learning and deep-learning models to predict the chemical structures and bioactivity
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16 Sep 2025 Job Information Organisation/Company St. Anna Children's Cancer Research Institute (St. Anna CCRI) Research Field Biological sciences Researcher Profile Recognised Researcher (R2
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15 Sep 2025 Job Information Organisation/Company St. Anna Kinderkrebsforschung e.V. Department Children's Cancer Research Institute Research Field Other Researcher Profile First Stage Researcher (R1
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thermodynamics, with an emphasis on both theoretical and practical applications. Experience in machine learning and AI, particularly deep learning frameworks such as TensorFlow, and their application in fluid
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on the following assessment criteria: Knowledge in energy technology, large language models (LLMs), deep learning, and Python programming. Meritorious qualifications include knowledge in power engineering, power
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thermodynamics, with an emphasis on both theoretical and practical applications. Experience in machine learning and AI, particularly deep learning frameworks such as TensorFlow, and their application in fluid
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projects. We are particularly interested in candidates with a background in sociology, anthropology, sociology of science and technology (STS), or organization studies. The scholarship requires the conduct
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environment representations, deep reinforcement learning, and intelligent robotic behavior. Solutions will be validated in simulation (e.g., ROS/Gazebo, Isaac Sim) and real robotic platforms. The candidate is
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, sociology of science and technology (STS), or organization studies. The scholarship requires the conduct of empirical fieldwork in and communication with Danish organizations, so the candidate must be able