279 computational-physics "https:" "https:" "https:" "https:" "LaTIM Brest" uni jobs in Denmark
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. Further information on the tenure review process is provided below. The position will begin on 1 December 2026 or as soon as possible thereafter. The School of Communication and Culture is committed
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. Further information on the tenure review process is provided below. The position will begin on 1 December 2026 or as soon as possible thereafter. The School of Communication and Culture is committed
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Technical Sciences Tenure Track Aarhus University offers talented scientists from around the world attractive career perspectives via the Technical Sciences Tenure Track Programme. Highly qualified
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machine learning methods to scientific challenges in areas such as bioinformatics, physics, or chemistry. You will collaborate closely with skilled colleagues across areas such as computational modelling
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to the research groups “Multimodal Reasoning for Robotics and Process Intelligence” and “Underwater Technology”, and the Assistant Professor will be positioned in the Esbjerg Energy Section. Research areas will be
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evaluate their own teaching in alignment with course plans and programme learning objectives. The role also involves developing a personal teaching portfolio and completing the university’s pedagogical
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computational and experimental approaches, leveraging the large-scale Microflora Danica dataset combined with samples taken from sites undergoing restoration. You will help conduct sampling, refine and apply
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Tracking within the general study programme Electrical and Electronic Engineering. The PhD Stipends are open from August 1, 2026, or soon hereafter, and the integrated PhD stipends are open for appointments
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to strengthening Denmark’s digital sovereignty, ensuring that advanced computing capacity, sensitive data environments, and research platforms remain under national control. Computerome is physically located
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stimulating and ambitious research environment within SDU Microelectronics, with strong activities in integrated circuits, digital systems, neuromorphic and in-memory computing, and AI-driven hardware platforms