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assessment criteria, which will be benefit are: Knwoledge and experience of cloud, monitoring & automation foundation Experience in foundation models and Large Language Models (LLMs). Experience in teaching
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team, Aarhus University and MAX IV. Depending on the candidate’s interests and expertise, research activities may include studies of functional materials, advanced crystallographic methods, automated and
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collection parameters for automated analysis pipelines; developing, optimising and implementing AI/ML workflows and validating analysis using physico chemical approaches. The research will be in close
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tools, or subsurface instrumentation. Prototype development, machining, fabrication, and assembly. Sensors, data-acquisition, signal conditioning, control systems, or experimental automation. Pressure
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species, a storm-exposure hazard index, and bark-beetle susceptibility signals. Contribute to the development of an operational web-based monitoring service, including automated update workflows and a user
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Development of automated data processing and analysis in collaboration with project partners within the framework of a self-driving lab AI-assisted execution of combinatorial material screening via XRD mapping
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processing or automated data workflows. Please note that this is a PhD-level role, but candidates who have submitted their thesis and are awaiting award of their PhD will be considered. In these circumstances
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defects to both lattice thermal transport and ion migration in solids. Strong scientific programming skills and experience with Linux-based high-performance computing, automated workflows and reproducible
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, air quality, and health. We seek a PhD or Postdoc to work on either of the two topics: Autonomous reaction discovery: combining quantum chemistry, machine learning, and automation to chart oxidation
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agriculture data/tools (yield monitor data, spatial variability, management zones, ECa/EMI, LiDAR, VisNIR, and UAV workflows). • Proficiency in programming languages (R or Python) for automated reproducible