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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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. This is a fixed-term position to end 24 months after the start date. Job description The postdoc position focuses on physics-driven machine learning methods for ground-based, airborne and drone-based
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as possible thereafter. The successful candidate will develop new theoretical frameworks and computational methods to investigate the fundamental limits of polariton-mediated inelastic electron
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numerical performance and interoperability. Extend the framework to include CCUS and PtX components (compressors, coolers, JT flash for CO₂ conditioning, storage tanks, pipeline transport
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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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economy contexts. Experience with citizen science, co-creation, or other participatory research methods is welcome but not required. Experience with food consumption, sustainability, or circular economy
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Computing Section at Aalborg University’s Department of Computer Science. We provide an ambitious and supportive research environment focused on the design and evaluation of interactive systems that
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neuroinflammatory process in people with Parkison’s disease. The study will be complementary to a parallel project carried by another postdoc, which is focused on similar investigation on brain cells in donated
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information and quantum computing, as covered by the section Analysis and Quantum, the Center for the Mathematics of Quantum Theory (QMATH), and the Quantum for Life Center. For more information about the above
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funded by the Pioneer Centre for Statistical and computational Methods for Advanced Research to Transform Biomedicine (SMARTbiomed). SMARTbiomed is an international collaboration between Aarhus