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Field
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methods for nuclear fusion, motivated by yield prediction in tritium fuel cycles. The lack of scalable tools necessitates large engineering tolerances, increasing reactor cost. Empirical tests are expensive
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(HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution
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the climate system and have all been identified as large scale tipping elements, albeit on very different time scales. While for each of these tipping elements critical thresholds remain matter of active
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Job Description The Institute of Mechanical and Electrical Engineering at SDU invites applications for a PhD position in Neuromorphic Brain-Computer Interface Design. Are you a multidisciplinary
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large metagenomic datasets. These features include both the weapons and shields that bacteria use when fighting each other: antimicrobials and antimicrobial resistance. In the Research Group for Genomic
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cybersecurity allowing thus to validate and receive feedback from on-the-field cybersecurity practitioners. As generative AI (GenAI) platforms and large language models (LLMs) are increasingly integrated
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Your Job: This project involves laboratory experiments with three different crowd settings: a) a large group waiting in close proximity, b) a queue, and c) a crowd moving through a bottleneck. Using
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aerosol inlet and a FUSION CIMS to analyze the particle-phase organic composition onboard the Zeppelin from 2027 onward Analyze large multi-dimensional datasets using statistical tools such as positive
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the Head of Department. About the project Our research is using information from large population-based cohorts available to the HUNT MCE Group for Genetic Epidemiology . This includes genotype data
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solving. Diverse research areas: Work on numerical models, analyzing large data sets, statistical methods and more in a unique scientific environment. Who Should Apply? Emphasizing the physical system