35 operations-management-associate-professor Postdoctoral research jobs at Technical University of Munich
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in full time. Your tasks: As one of three postdoctoral scientists of the r-SOC work package in the Future Laboratory Green Hydrogen, you will be responsible for setting up and operating a pressure
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data synthesis. Their work will determine how urban features drive species diversity, how species diversity and urban features are represented in soundscapes and how these relate to human health and
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science) Project management experience and good self-management Interest to work on a collaborative project with international partners and direct links to policymakers Excitement to work in an
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mentoring students • Support of colleagues in their doctoral work • General tasks in terms of chair management and operation Our Offers • Excellent chance for an upcoming scientist to further develop
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science & physics, biomaterials, nanotechnology, electrical engineering, and neurobiology. To learn more about our group’s recent work in this field, please check out some of our recent publications, here
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gross monthly remuneration in pay group TV-E 13 is in the range €4,074 - €5,873, depending on work experience and length of service. In this project, the lower network layers and an associated integrated
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management. Our group combines empirical work (with experiments in the field and in the lab) and modelling techniques. The focus of this postdoctoral position is the generation of empirical datasets
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months but can be extended for another 24 months (extension is subject to a positive performance evaluation). About us… Founded in 2002, TUM School of Management is part of TUM, one of the leading
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. Opportunity to work on your own ideas and collaborative projects. E.g., possible open projects in our group include AI for tumor bud detection, or multimodal AI for improved patient care and others. Opportunity
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the understanding of the trade-offs between production, mitigation and conservation in livestock-based systems, and to identify innovative mechanisms for landscape-level management. Our group combines empirical work