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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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functioning or ecological stability; experience with remote-sensing products and cloud/geospatial computing is an advantage; a publication record that is competitive for the candidate’s career stage
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with generative AI agents applied to data analysis or visualization authoring. Scientific project management experience, including coordination of multi-partner research activities. Experience with cloud
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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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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
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. Strong skills in scientific scripting (R, Python) and programming. Experience with High-Performance Computing (HPC) environments and the management/analysis of large datasets. The ability to
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learning model development (e.g., CNNs, UNets, Transformers). Strong programming skills in Python and hands-on experience with deep learning frameworks in PyTorch. Experience with scientific computing
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about the project here https://www.planttip.dk/ In this already ongoing project, we are now moving into the phase of building the model, using available knowledge, data, and theories on consumer