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, engineering, applied mathematics, physics, or another STEM discipline. · Demonstrated experience with mathematical and numerical optimization methods, including, but not restricted to, geometry or shape
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empirical methods/mixed methods research Openness to further research in participatory, arts-based and or digitally-informed contexts in the area of inclusive education International publications in peer
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training covering topics such as computational modelling, numerical methods, statistical analysis, machine learning or data-driven analysis of complex systems Experience 0–3 years of postdoctoral experience
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communication skills in English are mandatory Commitment, teamwork and a critical mind The ideal candidate should have experience in some of the following topics: Experience with control methods: impedance
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budget and time constraints, facilitating flexible adoption of the methods. The project is carried out in close collaboration with Helical-AI, an industrial partner specialized in large-scale genomic
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of qualitative and/or quantitative research methods Experience in applied social science statistics is an asset Capacity to work to with interdisciplinary collaborative teams Capacity to work with public
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include Luxembourg and its neighbour regions. Using an innovative multi-method design, the project integrates: Daily diary and ecological momentary assessment (EMA) approaches In-depth qualitative and