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embedded in a highly active research infrastructure. As an employer we are committed to promoting diversity within our team and would like to encourage all interested applicants, irrespective of their gender
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conditions. This project is embedded in the broader mission of our institute - to push the boundaries of sustainable, high-performance electrochemical energy storage through cutting-edge materials design
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collaborative models on how to optimally link the different decision levels. The candidate is expected to: Build models embedding dynamics and flexibility of process operations and related supply chains Combine
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the consortium, with a focus on methodological innovation, training, and knowledge utilization. This position is embedded in Work Package 1 (WP1), which supports the entire DECIDE consortium in achieving its
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a week) is possible, as separately negotiated. Requirements Candidates must hold an internationally recognized PhD degree in software engineering, computer science, electrical engineering, or a
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research experience in conducting experiments for field robotic systems Proficient programming experience in embedded, real-time software in C/C++ and Python with several years of practice Experience in
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culture at NYUAD. Participate in cross-disciplinary projects at CITIES, connecting data systems to applications in urban science, planning, and decision support. Qualifications Required: PhD in
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to investigate the human tissue-resident virome. The position is embedded within a dedicated and inspiring research group that values interdisciplinary teamwork, scientific rigor, and innovation. We work in close
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FemtoLab at the Department of Chemistry, Aarhus University, is seeking a candidate for a 6-month postdoctoral position. The position is available in the period 1/1-2026 – 30/6-2026 Research You are
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offered a fixed term contract from 1st December 2025 until 31st December 2026. Please note that as the role is part time, the salary listed in the advert will be amended accordingly (pro rata). Research