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statistical and algorithmic methods to analyze large amounts of simulation data, models that explain how and why an autonomously controlled machine fails or underperforms, and methods to recognize simulation
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assessment criteria: Knowledge in energy technology, large language models (LLMs), deep learning, and Python programming. Meritorious qualifications include knowledge in power engineering, power electronics
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teach bachelor, Masters and PhD level courses addressing all of these subject areas. Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu
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, forest ecology, pathology, policy and planning. We teach bachelor, Masters and PhD level courses addressing all of these subject areas. Read more about our benefits and what it is like to work at SLU
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, sustainable and data-driven, with work ranging from machine data analytics to new harvesting system designs. The Department of forest genetics and plant physiology is part of Umeå Plant Science Centre (UPSC
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machine data analytics to new harvesting system designs. The Department of forest genetics and plant physiology is part of Umeå Plant Science Centre (UPSC, https://www.upsc.se ), a world leading centre for
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to learn about how to open (and close) the ciliary time window of neuron development and differentiation? The project focuses on human neuron development. Using human ciliated neuronal cell models, we
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learning and development for all employees. We are also committed to building a safe and positive environment for all employees through mutual respect and tolerance. Research subject Medical science within
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educational programs in both Computing Science and Informatics, we are now seeking a doctoral candidate with a focus on AI models and policy applications for climate risk communication. This position is a
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about creating a positive, respectful, and stimulating environment. We value communication and collaboration and a workplace that promotes learning and development for all employees. We are also committed