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on lth.se. https://www.lth.se/english/study-at-lth/phd-studies/ Subject and project description The project, Dual Control at Scale: Learning-based control for systems with millions of states, is funded by
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. Experience with basic mathematical principles and their application in modelling. Familiarity with programming languages such as Matlab or Python . Given the interdisciplinary nature of the project, a strong
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level. Work duties You will primarily devote yourself to your doctoral programme, which includes participation in research projects as well as third cycle courses, seminars and conferences. The work
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collection (experiments, surveys). Expertise in advanced machine learning techniques and large language models (LLMs) —including web scraping, text mining, and neural networks—is considered a strong merit
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instrumentation at hard X-ray spectroscopy beamline Leading instrument development projects Combined XAS and X-ray diffraction, including XRD analysis Python programming for data reduction, gui and analysis
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in flow cytometry Ability to plan experiments, work independently in the lab, and keep an organized record Ability to communicate well with co-workers and to collaborate with other scientists
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Job assignment: The doctoral candidate program amounts to 240 credits (equivalent to four years of full-time study). It formally ends with the doctoral candidate publicly defending his/her printed
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Lund University Visiting Professors Programme Lund University invites expressions of interest for its Visiting Professor Programme. We seek individuals eager to engage with our vibrant research
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researchers at Lund University, Karlstad University and Södertörn University, and funded by The Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS). The research group
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with relevant functional safety standards such as EN ISO 13849, EN 62061, or IEC 61508 Knowledge of control systems, PLC programming, or automation technologies Experience working in large-scale