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Two Senior Innovation Coaches (specialkonsulent) for Early-stage Medical Technology Innovation Teams
BioMedical Design Novo Nordisk Foundation Fellowship Programme, Department of Clinical Medicine at the Faculty of Health, Aarhus University, invites applications for two positions (one in Aarhus and
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sustainable and resilient agricultural systems. The research team you will join is coordinating an international program that brings together leading scientists from around the world to investigate beneficial
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and relevant industry experience will be prioritised; familiarity with Horizon Europe Programme and previous experience under this programme; strong communication and personal interaction skills
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of the period.(the 5+3 program ). Further information about the PhD programme at the Faculty of Science can be found at the homepage of the University . The University wishes our staff to reflect the diversity
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value a clear, innovative and highly ambitious research profile. Teaching: Teach and supervise students within the department's portfolio of study programs. The successful applicant must be able to cover
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, of which about 90 are PhD students, and about 40 % of all employees are internationals. In total, it has more than 700 students in its BSc and MSc programs, which are based on AAU's problem-based learning
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. The positions The positions are affiliated with the Department of Educational Sociology, which is responsible for the Master’s degree programme in educational sociology. The selected applicants for the assistant
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the information studies programme. As the successful applicant is expected to play a key role in developing cybersecurity as a strategic research area within the department’s curriculum, applicants
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department has approximately 280 employees, 100 Ph.D.-students enrolled in the Doctoral School in Medicine, Biomedical Science and Technology, and 1,500 students in our bachelors and master’s programs. We hold
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experience in developing competitive national and international research applications Experience in programming languages (e.g. Python/R) and analytical skills in model evaluation Experience in advanced