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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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(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
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). For questions related to CV, diplomas etc., please contact humfak-hr@sdu.dk We recommend that as an international applicant you take the time to visit Working in Denmark where you will find information and facts
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of Europe’s ‘green transition’ to clean energy. You will work on cutting-edge research tasks, with objectives including • new algorithms and strategies to improve autonomous Airborne Wind Energy (AWE) operation
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will find contact persons at the bottom of the jobpost. Further information We recommend that you save a copy of the job posting, as it will be removed once the application deadline has passed
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questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information We recommend that you save a copy of the job posting, as