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Field
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-physical system Sensor fusion, perception and big data Cybersecurity, automotive networking Simulations, verifications and validations of autonomous vehicles Human-machine interfaces and interactions Self
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, these qualities are indispensable for a fulfilling PhD journey. These experiences will build you as an independent researcher, expand your professional network, and pave the way for diverse career pave the way
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enabling a wide range of robotic applications. As a PhD student, you will receive academic and pedagogical training and become part of a dynamic, international research community and network. This project
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Marie Skłodowska-Curie Doctoral Networks are joint research and training projects funded by the European Union. Funding is provided for doctoral candidates from both inside and outside Europe
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out the following tasks: Conduct research in the field of (bio)sensors for non-invasive monitoring; Be responsible for the design, production, purification and characterisation of peptides and proteins
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, postdocs, and faculty members. Our group focuses on understanding and mitigating corrosion processes, and on the development of electrocatalysts and electrochemical sensors through the synthesis of materials
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and in-field operation. The project will investigate co-simulation and multi-domain integration methods, linking ECU DTs with vehicle dynamics, powertrain, and in-vehicle communication networks
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sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits
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urban design, environmental stressors (e.g. heat, air pollution, pollen), and social factors (e.g. safety, norms, networks) influence active lifestyles; develop and test physical activity and destination
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, to mitigate user burden, monitoring should occur as minimally obtrusive and as engaging for a large audience as possible. Unobtrusive sensor technologies could complement self-reported data and may reduce the