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mobility every day. Our education and research are directly aligned with what society needs now and in the future. At TU Delft, our people make the difference. With their knowledge and curiosity, our staff
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urban or built-environment contexts. Experience with spatial data analysis, GIS, sensor-based mobility data, or behavioral mapping methods. Strong analytical and data-handling skills and experience with
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, evaluation, and data collection and analysis methods in urban or built-environment contexts. Experience with spatial data analysis, GIS, sensor-based mobility data, or behavioral mapping methods. Strong
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, semiconductor materials or optoelectronic devices. Experience with materials characterization techniques such as XRD, XPS, SEM, AFM, ellipsometry, Hall measurements or related methods. Experience with solar-cell
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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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we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and
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techniques such as XRD, XPS, SEM, AFM, ellipsometry, Hall measurements or related methods. Experience with solar-cell characterization (J-V, EQE, stability testing) is considered an advantage. Excellent
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for the automatic and scalable assessment of interventions using observational spatio-temporal datasets generated by modern sensing technologies (e.g., IoT sensors, mobile devices, Earth observations). What you will
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reduced knee flexion and propulsive push-off, impairments with a major impact on mobility and fall risk, with no effective clinical intervention currently available. Recent research showed that FES
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Hersenletsel.nl and Hersenstichting). The Challenge Stroke survivors often have reduced knee flexion and propulsive push-off, impairments with a major impact on mobility and fall risk, with no effective clinical