117 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof" positions at University of Vienna
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research projects and interdisciplinary cooperation. The position is limited to six years. Your future tasks: Active participation in research, teaching & administration, which means: You develop
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education, we are particularly keen to support the personal development of our students. We support students in developing a curious and problem-solving mindset, thereby creating a solid foundation for the
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fluorescence lifetime microscopy, for applications on microbiome samples and actively contribute to the development and implementation of new fluorescence imaging methods at our department. You will be
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teaching through their expertise and work in administration and organisation. They know how they can work best. Flexible, remote and with as much freedom as they need to develop their potential. You know
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the success of the students. In addition to a well founded professional education, the motivation of students is also particularly important to us. We want to help young people develop an inquisitive
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behaviors. Additional research interests of the team include: Development and evaluation of health behavior interventions, including interventions focusing on the physical environment and digital
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to address these challenges by exploring the dynamic relationship between legal frameworks, regulatory strategies, and technology development. The successful candidate for this position will be employed by
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interpretation; examine the logics and practices of different infrastructures and how these relate to imaginations of data sharing; work to make recommendations regarding best practice in developing research
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of students. We support students in developing a curious and problem-solving way of thinking and thereby create a solid basis for professional challenges of the next generation. Your workplace: The position
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/permanent employment. Job description: As a Data Steward at the FGGA, you will support researchers in the sustainable handling of research data and the development of strategies for discipline-specific and