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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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algorithms for analysis of large image datasets. Experience with parallel computing, high-performance computing, distributed computing, and/or cloud-based computational workflows. Experience with large-scale
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management. Experience working comfortably at scale: large and unwieldy data frames, high-performance computing clusters or cloud compute, and workflows that must run reliably on a fixed weekly
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outputs with experimental validation workflows, including library generation, screening, or directed evolution approaches. Familiarity with cloud computing, high-performance computing (HPC), and workflow
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outputs with experimental validation workflows, including library generation, screening, or directed evolution approaches. Familiarity with cloud computing, high-performance computing (HPC), and workflow
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outputs with experimental validation workflows, including library generation, screening, or directed evolution approaches. Familiarity with cloud computing, high-performance computing (HPC), and workflow
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outputs with experimental validation workflows, including library generation, screening, or directed evolution approaches. Familiarity with cloud computing, high-performance computing (HPC), and workflow
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outputs with experimental validation workflows, including library generation, screening, or directed evolution approaches. Familiarity with cloud computing, high-performance computing (HPC), and workflow
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Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. Your role The SnT is looking for a Postdoctoral Researcher to support research and
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model predictive control, machine learning, or reinforcement learning. Experience with IoT, edge computing, and cloud integration. Proven ability to contribute to research funding proposals