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Field
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PhD Scholarship in University Students’ Learning Via Digital Twins of Neutron Scattering Instruments
twins to replace hands-on training? Do you want to engage in a career within didactics of STEM (Science, Technology, Engineering and Mathematics) education? This PhD project is a part of the ACCESS
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statistical model calibration, machine learning and data analysis. The research environment is international and interdisciplinary, with close links between fundamental method development and technically
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Master’s degree in a relevant field such as the Natural Sciences (e.g., mathematics, physics, biology, statistics), Computer Science, Medical or Health Informatics, Econometrics, or Data Science (or a
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complex environments. The project will build on an interdisciplinary approach, combining concepts and methods from physics, chemistry, and mathematical modelling. The long-term goal is to derive design
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study. The research will begin with the analysis of baseline and historical data collected from wayside sensors installed on selected instrumented railway bridges. Building on these insights, an on-board
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security applications. We are currently seeking a Ph.D. student to research the following topics: Investigation of quantum computing methods for contingency analysis, optimization, and dynamic security
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(Python, C++, etc.). Experience in mathematical programming and/or optimization software such Pyomo, GAMS or similar. Proficiency in process simulation software (Aspen Plus, Aspen HYSYS, etc.). Experience
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relationships and tailor communications for a wide range of stakeholders, including academics, applicants and enrolled PhD candidates. Strong MS Excel and data analysis skills are essential, including the ability
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of railway tracks on bridges, using Dutch railway infrastructure as a primary case study. The research will begin with the analysis of baseline and historical data collected from wayside sensors installed
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or fisheries management, especially developing and delivering advice, will also be beneficial. The position requires a PhD in quantitative analysis of biological systems (e.g. statistics, mathematics, modelling