238 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs in Denmark
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value for and with society. Whether our contribution comes in the form of excellent research, innovative solutions, education, or learning, we aim to make a positive difference for society and contribute
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Tenure-track Assistant/Associate Professor/Professor in Ecophysiology and Ecology Department of B...
. Obtain competitive research funding from external funding bodies. Contribute positively to the department’s strategy and social working. Be able to communicate and teach in Danish within four years after
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, innovative solutions, education or learning, we must make a positive difference to society and contribute to a sustainable future. We do this by cultivating talents and creating the best environments
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of society nationally and globally. The university offers an inspiring research and teaching environment toits 38,000 students (FTEs) and 8,300 employees, and has an annual revenues of EUR 935 million. Learn
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managing of Virtual Machines (VMs), and storage, Design secure and scalable CI/CD workflows, Support development and deployment pipelines, Ensure system reliability, maintainability, and compliance 2. Web
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effectively in English; Have a positive and collaborative approach to teamwork; Have a background or strong interest in robotic control and deep learning. We offer: Workplace located in Odense; Approximately 8
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, innovative solutions, education or learning, we must make a positive difference to society and contribute to a sustainable future. We do this by cultivating talents and creating the best environments
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. • Obtain competitive research funding from external funding bodies. • Contribute positively to the department’s strategy and social working. • Be able to communicate and teach in Danish within four years
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quality, including publication in top international journals and communicate your research in national and international academic networks Teach, supervise and examine BSc, MSc and PhD students as
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demonstrate strong analytical thinking and the ability to approach complex problems systematically. You will be working in a highly interdisciplinary environment, so openness to learning from different research