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Are you interested in Robotics and can you contribute to the development of the project Dynamics and Control of Robotic Handling and Maintenance of Fusion Reactors? Then the Department of Mechanical
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Are you interested in Robotics and can you contribute to the development of the project Dynamics and Control of Robotic Handling and Maintenance of Fusion Reactors? Then the Department of Mechanical
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quality modelling, with focus on Knowledge-Guided Machine Learning. The position is a rewarding opportunity to be integrated in an excellent freshwater group. The department’s research and advisory
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include: Developing deep learning models for spatiotemporal fusion of multi-sensor satellite data (e.g. SAR and SMAP), with soil moisture as a target variable. Designing and evaluating deep learning
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collaboration and knowledge co-creation and analysing how knowledge is co-created across science, policy, and practice.The postdoc will join the SMARTFIELD project and become part of an interdisciplinary
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collaboration and knowledge co-creation and analysing how knowledge is co-created across science, policy, and practice.The postdoc will join the SMARTFIELD project and become part of an interdisciplinary
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research, engineering, and knowledge sharing. Please indicate clearly in your application which position(s) you are applying for. A PhD in chemical engineering, plasma physics, process systems engineering
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knowledge and technologies. Currently, our department has approximately 230 employees, 70 Ph.D.-students enrolled in the Doctoral School in Medicine, Biomedical Science and Technology, and 1,900 students in
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with a unique problem- and project-based focus, and continued education and knowledge dissemination. The candidate will be supervised by Kim Guldstrand Larsen, Jiri Srba, and Christian Schilling. Your
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machine learning and signal processing, with preferably some knowledge of RF systems or spectrum sensing. You are confident working with experimental RF data such as baseband I/Q signals, developing and