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fellow will conduct research on Algorithmic Verification of Concurrent Systems within the Programming Languages, Logic, and Software Security Research Group at Aarhus University. The focus of the position
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the development of scalable AI prototypes while forging new algorithmic paths in generative AI for the natural sciences, empowering researchers to tackle complex, data-intensive challenges in uncharted territory
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. Experience with phase retrieval algorithms, clean room use and e-beam lithography are beneficial. The candidate will be expected to participate at international user facilities and thus will be expected
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of prior data?) Additional research topics may include: Algorithmic Transparency and Fairness in Funding Decisions Comparative Analysis of Funding Models AI-Driven Predictive Analytics for Funding Success
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to work on fundamental challenges in distributed systems, real-time communication, and AI-enhanced automation with applications across multiple critical infrastructure domains. You will collaborate closely
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feedback and translate it into concrete recommendations and improvements. Collect data from CORC event participants and speakers Develop the CORC event experience Capable of handling multiple priorities and
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handling rodent of at least 4 years. You have experience in long term animal studies involving multiple labs. You have a thorough knowledge of in vivo experimental design and animal models, especially
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assessments and modelling of food web dynamics and disease screening. This position provides a unique opportunity to contribute to our understanding of how multiple stressors including climate change
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-cell level, even in low-cell-number CSF samples. Such a method would enable high-resolution immune profiling with potential application to diseases like multiple sclerosis (MS), Parkinson’s disease (PD
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the energy system across multiple energy systems, renewable energy production, infrastructures and consumption for a more efficient, circular and reliable future energy system. The position is open from