242 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs in Denmark
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research, 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
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applied in cognitive and/or social science. Applicants are asked to indicate in their applications which courses they can teach. The successful applicant will also be expected to apply innovative teaching
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are international. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab
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languages at SDU are English and Danish. The research language at the department and DIAS is English. SDU offers Danish language courses for new employees, and new hires are expected to acquire sufficient
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networks and pedagogical upgrading. As tenure track assistant professor your primary tasks will be research and research-based teaching. You will teach and supervise students at bachelor’s and master’s level
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of each applicant will be emphasized in the overall assessment. Your work tasks As assistant professor of computer science your primary tasks will be research and research-based teaching. You will teach and
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competitive research activity in Biophysics. Engage in interdisciplinary collaborations. Obtain external funding for independent research and collaborative research. Teach in physics courses offered by
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to learn new tasks and skills. Applicants must be enrolled as students at SDU to be considered. The ideal candidates is technical students, with a strong interest in robotics and drones. We particularly
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subjects related to economics and health economics. The candidate will be expected to teach and/or supervise students at bachelor, master and/or PhD level. We expect the successful candidates to actively
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focuses on the complex interplay of health, social, and environmental factors that shape individuals, families, and networks over time. Learn more about the Center and our research, vision, and values here