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description Work on EU projects to develop next‑generation transport, emission and health forecasting models by integrating deep learning, xAI, and diverse data sources such as traffic sensors, smart‑card data
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 months ago
, scientific curiosity, and commitment to scientific excellence. Hands on experience with optics, fiber optics, sensors, miniaturized systems design and development. Programming skills in C++ and MATLAB
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(R2) Positions Postdoc Positions Application Deadline 31 Aug 2026 - 00:00 (Europe/Luxembourg) Country Luxembourg Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1
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well-being, accessibility, safety, and social cohesion, and translate multi-site data into comparative insights and practical tools for cities and practitioners. What you will do In this Postdoc position
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. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also
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and practitioners. What you will do In this Postdoc position, you will: Contribute to defining metrics and indicators across spatial (schoolyard, street, neighborhood, city) and temporal (daily, weekly
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a postdoc in the field of Embodied AI and Robotic Perception with Wireless Communication and
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functional polymer products, with a focus on areas of bio-based and biodegradable fibers/films/foams, and functional textiles for smart wearable applications. The postdoc is expected to develop an independent
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development of new sensors, support nanoparticle-based cellular reprogramming strategies and identify new omics-based biomarkers. We work closely with clinical partners and we focus on deep understanding
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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