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Field
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. At the Division of Systems and Control , we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and
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, or similar methods. Analytical skills and experience with data interpretation, including quantitative analysis of experimental results. Ability to work independently, take initiative, and plan and conduct
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require new mathematical machinery. LOGSMS will combine diverse tools from discrete mathematics, learning theory and machine learning, thus facilitating the design and analysis of such models. PhD position
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to demonstrate documented proficiency in English. You have knowledge and expertise in computer vision and/or medical image analysis, deep learning as well as mathematics. You have substantial expertise in
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27 Jan 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Other Engineering » Control engineering Engineering » Other Mathematics » Applied
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23 Mar 2026 Job Information Organisation/Company PHAETHON Centre of Excellence Research Field Engineering » Mechanical engineering Engineering » Electrical engineering Computer science Mathematics
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University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture | Croatia | about 1 month ago
sciences, specializing in mechanical engineering Experience in mathematical modeling of centralized heating systems, using GIS tools, and energy system analysis. LanguagesCROATIANLevelExcellent Additional
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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analytics methods for the study of historical paintings in an interdisciplinary research environment. You will contribute to the development of state‑of‑the‑art methods that advance the analysis of complex
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analysis. Attack-tolerant resilient control Designing controllers that maintain performance under faults and cyber-physical attacks. Probabilistic guarantees and uncertainty quantification Establishing