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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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assessment criteria: Knowledge in energy technology, large language models (LLMs), deep learning, and Python programming. Meritorious qualifications include knowledge in power engineering, power electronics
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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