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the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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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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-based surrogate models. Experience with high-performance and parallel computing. Familiarity with digital twins and real-time deployment of predictive models is an advantage. Who we are The two
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as maintaining computing infrastructure and supporting field-based research equipment. The position will be part of a team of technical-administrative staff that jointly cover the following areas
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parallel project carried by another postdoc, which is focused on similar investigation on brain cells in donated postmortem brain tissue. You will be employed in the project Evaluating STING
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societal challenges. The positions will be in the Software engineering and computing systems section. The section performs teaching and conducts innovation & research in the systematic development
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societal challenges. The positions will be in the Software engineering and computing systems section. The section performs teaching and conducts innovation & research in the systematic development
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multisensory systems, especially haptics (actuators, tactile displays, force feedback devices) Strong visual computing skills (Unity, C++/C#, Python, rendering, tracking or 3D reconstruction pipelines) A
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advantage Familiarity with large biological datasets and high-performance computing is desirable Ability to work independently and collaboratively in an interdisciplinary research environment
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computing is desirable Ability to work independently and collaboratively in an interdisciplinary research environment Proficient in written and spoken English About us The Center for Quantitative