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continuing education (e.g., within research management). On request, you may be asked for an official English translation References/recommendations A presentation of your research area or interests and a
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industry partners across the REINS consortium to exchange insights on embedded AI design, real-time system performance, and safety-critical requirements, and will support the management of SDU-led work
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(strategy and innovation), are desirable. Qualifications: Applicants must have completed a PhD in Management, Economics, or other related social science disciplines before the beginning of the fellowship
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institutional context, job roles and available resources. You will be employed at DTU Management and be associated with the section for Organisation Science and Technology. You will work physically from CAISA
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& publication experience Ability to work in a team - collaboration and/or management skills Ability to work independently In the application you are explicitly encouraged to describe your experience with
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indicators and strategies for resilient wetland ecosystems, supporting adaptive management and evidence-based restoration practices. We expect that you will be an important part of the research environment and
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qualifications, including your publications, ability to conduct independent research and participate in research collaborations as well as your experience in research management. In addition, the applicant’s
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indicators and strategies for resilient wetland ecosystems, supporting adaptive management and evidence-based restoration practices. We expect that you will be an important part of the research environment and
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communication and interpersonal skills, in order to engage productively both within the research team and with external organisations and institutions experience in the self-directed management of research
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to manage research projects and to acquisition of national and EU funding. Qualifications As a formal qualification, you must hold a PhD degree (or equivalent). Specifically, a PhD in Energy Engineering