10 phd-studenship-in-computer-vision-and-machine-learning PhD research jobs in Denmark
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, strong record of research publications, and demonstrated potential to excel in scientific research. You are expected to teach and instruct both graduate and undergraduate students as well as supervise
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DTU Tenure Track Researcher in Low-Noise Supercontinuum Lasers and Supercontinuum Laser based Opt...
of Thulium fs lasers. You will also be a co-supervisor of postdocs and PhD students working on the project. We therefore require you to have strong experimental qualifications within fiber optics, fiber lasers
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qualification you must hold a PhD degree (or equivalent). Specifically, a PhD in manufacturing engineering (or equivalent) with documented experience in the following areas: Precision machining Machining system
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, multiphase reactor design). Disseminating results in high-impact journals, international conferences, and EU/industry consortia. Supervising MSc and PhD students and contributing to project coordination and
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
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quality in relation to environment and health are expected. Good communication skills and knowledge of cooperating with end users and political decision makers is an advantage. Applicants should hold a PhD
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-disciplinary research team and will be expected to contribute to the overall activities of C-NBS. Your profile The successful candidate must hold a PhD degree and should show strong academic track record
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-disciplinary research team and will be expected to contribute to the overall activities of C-NBS. Your profile The successful candidate must hold a PhD degree and should show strong academic track record
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as part of our commissioned work. You will be part of a team of around 34 employees, consisting of researchers, development engineers, PhD students and technicians working closely together. Key