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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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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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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
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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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to: Develop mechanistic and data-driven models to analyse concentration–response relationships and biological readouts from advanced in vitro assays Apply statistical and computational methods to quantify
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empirical implementation. The successful candidate will join the research group on non-formal education at the Centre for Childhood and Youth Research (CCY) within the Department of Social Sciences. The CCY
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evaluating adaptive Medium Access Control (MAC) and network‑layer protocols to enhance performance in shared spectrum environments. Developing AI‑driven methods for real‑time interference prediction and