16 machine-learning-phd-in-netherland Postdoctoral positions at University of Copenhagen in Denmark
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us to explore the relation between the degree and type of processing, and the foods that result from their use. The results will be used for data machine learning, in collaboration with other partners
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, to better understand the complex interplay of the many factors that drive cardiometabolic disease. You can learn more in the Executive Summary of CBMR's Strategy 2024–2028 . CBMR was established in 2010
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relevant tasks. The department can offer postdocs who teach up to 20% of their working hours, the Teaching and Learning in Higher Education programme without hourly compensation. Qualification requirements
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/cognition-and-clinical-neuropsychology/ , at the Department of Psychology, University of Copenhagen. Qualification requirements The candidate must have obtained a PhD degree in mathematics, statistics
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/or Training: The successful candidate should have a PhD in structural biology or in protein biophysics/chemistry/biochemistry. The candidate should demonstrate an academic record of excellence, and a
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, passionate about science, and keen to learn and improve skills within a supportive research environment. You will be part of a multidisciplinary team and will be tasked with proactively seeking and maintaining
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for the project. Profile We are looking for a highly motivated and enthusiastic scientist with the following competencies and experience: Essential experience and skills: You have a PhD in ancient genomics
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) consist of 4 Post docs. 2 PhD students, and 1 research assistant. Core focus of the group includes both basic science and applied science with societal impact. In 2022 the biotech company TriptoBIO (http
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. For example, could drones scan the ground to support a visually impared person walking through a forest? Or could computer vision enable perception and sensing of a retail outlet? We are looking for a
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part of the Department of Communication. The department is home to approx. 80 faculty members, 40 PhD students, 20 postdocs, 40 part-time lecturers, 27 administrative staff, and 2200 students