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relationships, networking and social activities a workplace characterised by professionalism, equality and a healthy work-life balance. Place of work and area of employment The place of work is Gustav Wieds Vej
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critical 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
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Demonstrate complex problem-solving skills and critical thinking Have an interest in and ability to work interdisciplinary Show an integrative and cooperative personality with good communication 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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Postdoc – Performance requirements for biobased construction materials used in the building envelope
and is internationally known for its interdisciplinary approach to solving complex challenges in the built environment. The department and the Building Physics research group leverages unique research
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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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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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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