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Science, Robotics, or similar. A background in digital twin engineering, autonomous systems, and machine learning is required. An understanding of machine learning and MLOps is desired. Fault detection, multi
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Senior Researcher in Design and Operation of Sustainable Biomanufacturing Processes - DTU Chemica...
, including the application of multi-objective optimization techniques, particularly within the context of biorefineries and biomanufacturing. The successful applicant will also bring significant experience in
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supply chain design, including the application of multi-objective optimization techniques, particularly within the context of biorefineries and biomanufacturing. The successful applicant will also bring
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Job Description We invite applications for a fully funded PhD position focused on the development of advanced computer vision and machine learning algorithms for detection and identification
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, to discover new disease-related genes, potential targets and biomarkers, in order to provide more efficient treatments for patients. BRIC is embedded into the Faculty of Health & Medical Sciences
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(work, studies, etc.) in the country of the recruiting organisation for more than 12 months in the 36 months immediately before the recruitment date. You can find more information here . Assessment
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, and policy-makers, and help accelerate the transition from breakthrough science to real-world solutions. The precise objectives of the PhD position are to be determined in dialogue between the candidate
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recruitment date. You can find more information here . Responsibilities and qualifications In the AWETRAIN project, one of the main objectives is improving the reliability of airborne wind energy. One
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learning-based detection Multi-camera-multi-object tracking using fisheye cameras Deployment of deep learning-based solutions Familiarity with the agricultural domain Furthermore, the successful candidate is
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immediately before the recruitment date. You can find more information here . Assessment The assessment of the applicants will be made by a committee consisting of Head of Division Lena Kitzing (Professor) and