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The Luxembourg Institute of Socio-Economic Research (LISER) is recruiting aPhD Candidate in Geospatial Data Science and Environment with a focus on Artificial Intelligence and Machine Learning (f/m
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momentary assessment) and the combination of self-report and sensor-measured data. There will also be the opportunity to contribute to longitudinal survey studies and analyze existing datasets. The person is
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methods for causal inference in observational data, is strongly preferred. Using various existing large datasets with rich information for knowledge synthetisation and triangulation over the course of the
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, which will collect detailed information on the dynamics of stress reactivity, but also on positive experiences and the role of strengths and weaknesses in the everyday lives of the very old. The candidate
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: oDeveloping the conceptual framework linking accessibility biographies and mobility cultures attachment ;oApplication of novel methodologies dealing with big data (e.g. GPS and other sensors) for assessing
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international academic journals, and the regular presentation of papers at national and international conferences. More information on this and other TRANSFORM projects are available at https
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of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students. General information
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, Large Language Models, Human-Computer Interaction, Virtual reality. The selected candidate will work on the design and implementation of a human-computer interface to support education using an AI-based
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transcripts A 3-page research proposal that presents your research project for the PhD: your research question, a short literature review, an overview over the methods and data that you aim to use The names
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities