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Job related to staff position within a Research Infrastructure? No Offer Description Knowledge is a vital asset for individuals, organizations, institutions, and society. Large Language Models (LLMs
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Requirements Need to have: Experience with radiative transfer algorithms including polarisation Experience with the development of large codes Knowledge of scattering and absorption processes in planetary
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knowledge in software integration methods. Knowledge in machine learning and deep learning methods. Knowledge in OpenCV, ROS, and Gazebo. Well organized and excellent time management skills. Excellent command
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knowledge in software integration methods. Knowledge in machine learning and deep learning methods. Knowledge in OpenCV, ROS, and Gazebo. Well organized and excellent time management skills. Excellent command
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-made infrastructures to biological, brain and social networks. Fostering an inspiring, friendly and supportive environment, we meet regularly and share ideas and knowledge. You will receive all
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on the theme of Activating Design and Co-Creation within the section of Building Knowledge. This is a fully funded position by the sector plan Design Engineering Science. The selected candidate will
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or Mechanical Engineering by the start of the project. Strong knowledge of fluid mechanics and transport phenomena is needed to make progress in the project; knowledge of soft matter physics or colloid
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or Mechanical Engineering by the start of the project. Strong knowledge of fluid mechanics and transport phenomena is needed to make progress in the project; knowledge of soft matter physics or colloid
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adaptation, etc. We are looking for a candidate with strong computer science background and system thinking. The knowledge and experience in the energy field is highly desirable. The affinity with modeling and
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learning (ML) models trained on massive collections of open-source code and allow developers to easily (re)use the programming knowledge aggregated by these ML models. Although LLMs can generate code, recent