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Field
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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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This self-funded PhD research project aims to develop smart sensors based on low-frequency resonance accelerometers for condition monitoring of ultra-speed bearings. The developed smart sensors will
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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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, 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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, 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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workflows between field acquisition teams, data center staff, and research collaborators to ensure seamless data transfer and integration. -Support daily operations of servers, networks, storage, and cloud
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sensors and vision systems Life sciences Low cost and low power radar sensing systems Photovoltaics Power to Molecules Sensor solutions for Internet of Things Silicon photonics Solid state batteries System
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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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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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areas: scientific programming and data analysis (e.g., Python, R, C++, MATLAB), computational modeling, imaging and sensor data processing, bioinformatics, systems biology, or biophysics Familiarity with