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Website https://www.academictransfer.com/en/jobs/358703/phd-in-scalable-safe-ai-for-sem… Requirements Specific Requirements A master’s degree AI, Machine Learning, Data Science, Computer Science or a
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systems, manufacturing systems, supply chain systems, and transportation systems. Our faculty performs methodological research in data analytics, machine learning, human systems engineering, optimization
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flexibility orchestration Scalable data and machine learning pipelines Digital twin architectures for cyber-physical energy systems AI-based energy system modeling, simulation, and optimization Secure and
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, mathematics, engineering, natural sciences or other data science/machine learning/AI related disciplines Language requirements English C1 or equivalent Application deadline January, please see website for exact
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are of particular interest and thus are strongly encouraged to apply. Detailed Position Information The Department of Aerospace Engineering and Mechanics (AEM: https://aem.eng.ua.edu ) and the Lee J. Styslinger Jr
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network management. You will have a good first degree in physics, electrical and electronic engineering, computer engineering/science, or another relevant subject, and a PhD or equivalent experience in
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Chemical Engineering, Materials Science, or a related field The candidate should have a background in at least one of the following areas: quantum mechanics, molecular simulation, and machine learning
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27 Feb 2026 Job Information Organisation/Company Fondazione Bruno Kessler Department Unità People Innovation Research Field Technology » Computer technology Researcher Profile Recognised Researcher
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about the Shih Lab: Learn more about the innovative work led by Dr. William Shih here: https://www.shih.hms.harvard.edu/ . What you’ll do: Develop DNA-based sensors that seed crisscross assembly of single
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related to learning engineering and AI in education, working with a team of postdoctoral researchers, PhD students, and Master’s/undergraduate researchers across multiple universities and organizations