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initiatives focusing on: Next-generation energy storage systems Power converter design for Power-to-X (PtX) solutions Microgrid applications Quantum computing in power systems And other emerging technologies in
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The Department of Computer Science at Aarhus University invites applications for a 24-month Postdoctoral Research Fellow in Explainable AI interested in interdisciplinary research between
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developing optimization-driven approaches to multimodal device tailoring. We are looking for someone with A PhD in Human-Computer Interaction or a closely related field Strong programming skills (e.g., Python
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at the interface of macroecology, biodiversity modelling, global-change ecology and restoration science. Your profile Applicants must hold a PhD or have submitted a PhD thesis before the starting date, in ecology
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
the department’s teaching and supervision activities and to teach and supervise at BA and MA levels. The department has the following educations: Information Studies, Bachelor's Degree Programme in (2018
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Chemical Engineering from AU. Your profile Applicants must hold a PhD in Biology, Chemistry or similar fields. Applicants are expected to have: Documented experience in optical sensing (requirement
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knowledge exchange activities with public authorities and industry stakeholders. Contributing to teaching and supervision of students at the bachelor's, master's, and PhD levels. Qualifications We are seeking
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identifying ecological and functional connections between environmental and host-associated microbiomes. The postdoctoral researcher will work closely with a PhD student and an international network
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and different industrial outreach activities The candidate has at least the following qualifications - Applicants should hold a PhD in Computer Engineering, Computer Science, or similar - Cyber-physical
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have a PhD in synthetic chemistry or similar. The candidate is required to have a strong background in organic synthesis and transition metal catalysis. The candidate must be familiar with organometallic