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this project, we will develop neural diffusion techniques to design materials with targeted optical properties, scaling to large systems through efficient representations and GPU parallelization. We will also
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. The funding body is the Novo Nordisk Foundation. In parallel with research, you have the opportunity to take part in innovation activities with Copenhagen Microsystems , and this could be up to 20% of your time
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Interaction. The position is funded by the Innovation Fund Denmark grant titled “Personas and behaviours of AI for social skills and mental health ”. You will primarily be involved in working within the social
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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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analysis Validation of turbine response models against measurements Inflow and wake modelling Wind turbine controller design Aero- and hydro-dynamic modelling Structural dynamics, beam models and cross
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for leading the following efforts: Design, build, and characterize engineered yeast strains and synthetic biology systems (e.g., DNA design, cloning, PCR, plasmid building, genetic engineering, mutagenesis
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, innovation, and scientific advice of the highest quality within building design and processes, building construction and safety, building energy and installation, solid mechaanics, fluid mechanics, materials
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to contribute to: (1) The design and build-up of a deep-UV supercontinuum source for ultrafast pump-probe transmission / reflection spectroscopy. (2) Investigate the dynamics of electrons and holes in selected
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to contribute to: (1) The design and build-up of a deep-UV supercontinuum source for ultrafast pump-probe transmission / reflection spectroscopy. (2) Investigate the dynamics of electrons and holes in selected
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24 Aug 2025 Job Information Organisation/Company Aalborg Universitet Department The Technical Faculty of IT and Design, Department of Computer Science, Human-Centered Computing Research Field