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research networks. The position is particularly well suited for candidates interested in questions such as: how stakeholders make sense of contested sustainability innovations how perceptions, values, and
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. Experience in building research networks, and communication across disciplines and professions are considered important, due to the research collaborative- and cross-disciplinary focus. Considering the wider
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discussion within and across different fields of research a work environment with close working relationships, networking and social activities a workplace characterised by professionalism, equality and a
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, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models
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and physical verifications (DRC and LVS) using Calibre and Quantus. Knowledge of neural networks and neuromorphic systems is a strong advantage. Team player with strong collaboration skills. All
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students to explore the intersections of language, culture, and society. They are actively involved in various research centres, groups, and networks, contributing to cutting-edge projects and publications
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networks, experience within AI or technology ethics and international research stays. Danish skills will be considered as an advantage. Work environment Active participation in the department’s daily
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quantum networks, where one bit of information is encoded in the quantum state of a single photon. You will be part of a team of 10-12 people between senior staff, PostDocs and PhD/Master students
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on Nanoparticles You will develop atomistic models and machine-learning potentials to interpret experimental data and predict catalytic performance. The tasks can include: Advancing equivariant neural network
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researcher network. The department consists of nine research sections with around 350 highly skilled employees, of which approximately 50% are scientific staff. More information can be found here . We believe