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Field
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Knowledge of Physics-Informed Neural Networks (PINNs) or equivalent methodologies. o Experience in the acquisition, processing, and analysis of data from sensors or industrial testing. o Participation in
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future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which
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the same time, we are developing the chips and 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
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tracking; volume and mass estimation; inverse geological modelling; and analysis of sensor and telematics data from machines and transports. The logistics part may include optimization of construction
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with researchers and practitioners through the aiD network and related national initiatives. Contribute to the scientific development and collaborative activities of the Data Science research group
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care to frame this autonomy in a global and general concept of intelligent assistance, including human validation in each steps where it makes sense 15 Doctorate Candidates will learn from a network of
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programming, computer system design, database systems, data structures, digital design, embedded systems, graphics, machine learning, mobile and cloud computing, networks, programming languages security, sensor
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scalable use of second-life batteries in high-power DC charging networks. This PhD is funded by Holland High Tech and ABB Delft. The research in the Department of Electrical Sustainable Energy is inspired by
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. Job description We are looking for a motivated Doctoral Researcher to join an upcoming Horizon Europe project focused on developing microfluidic sensor technologies for soft robotics. In this role, you
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the project life cycle; development of novel sensors and networks for health monitoring and fault detection; digital transformation of the built environment at network and city scales to support decision making