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Field
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research spans from measuring and manipulating materials at the micro and nano scale, to the design of world-class sensors and actuators. You will be working in an international environment in one
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mitigating corrosion processes, and on the development of electrocatalysts and electrochemical sensors through the synthesis of materials and the use of advanced electrochemical methods and surface analysis
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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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modeling and simulation experience in PCB design experience in control system design using analog/digital sensors and DSPs/microcontrollers familiarity with HVAC systems and thermal/electrical co-design is a
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performance and their scalability on a vessel. The PhD candidate will address these challenges by setting up performance monitoring systems using cost effective sensors and IoT devices. To enhance assessment
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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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Experience in designing software systems General overview and understanding of the working principles of sensors and robotics Applicants are invited to submit a research plan outlining their approach
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solutions for building energy management and in district energy networks, and toolkits of solutions for building and district performance assessment. The combination of computer science with the built
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analysis framework that supports flood-resilient urban design by combining multi-sensor Earth observation (EO) data, hydrological–hydrodynamic models, urban digital twins, and advanced AI methodologies
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, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power