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part of the Innovative Health Initiative (IHI) project AF-B-STEP (Quantifying Atrial Fibrillation Burden to inform Screening, Treatment, and hEalth Policy, https://afbstep.eu/) , we aim to establish
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, you will: Contribute to defining metrics and indicators across spatial (schoolyard, street, neighborhood, city) and temporal (daily, weekly, seasonal) scales, combining sensor-based data with human
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to inform Screening, Treatment, and hEalth Policy, https://afbstep.eu/) , we aim to establish atrial fibrillation (AF) burden as a novel biomarker for precision medicine. AF-B-STEP brings together leading
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of the built environment and systemic social barriers as contributors to this problem. B4B integrates such perspectives and explores them through a mixture of qualitative, quantitative, and sensor based
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with airborne and satellite-based imagery to unravel radiative exchanges. You will also be working on coupling and upscaling of radiative in-situ observations from our spatially distributed sensor
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framework for the temporal integration of Earth system models with observational data from our spatially distributed sensor network (ITEM), as well as Earth observation imagery. With this framework, you will
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systems. Experience working with sensor data, including data collection, processing, or analysis. Programming skills and experience in Python, JavaScript or comparable programming languages. Excellent
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, including a sensor-based system, for studying human-material experiences with temporal and biofabricated textiles. You will then apply this methodology and toolkit in user studies to investigate how people
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the sensors measured? In the ASPIRE project, we develop knowledge for the new generation of sports tracking technology that integrates athletes’ subjective experiences (such as perceived exertion, motivation
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are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity for the internship Topic of the internship: Development of field tools and Electronic Fieldbook (EFB) for CAVES & PANGAEA The EFB is