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focus on resonant acoustic mixing (RAM) - a relatively novel and increasingly important class of process equipment attracting growing industrial interest across multiple sectors. At its core, the project
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respectively, we seek highly motivated candidates to develop innovative methodologies for radar sounder data processing, with a strong emphasis on artificial intelligence and deep learning. The research activity
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-induced plasmas. You will join the group of Elementary Processes in Gas Discharges at Eindhoven University of Technology (TU/e), a leading research group in plasma physics, having the opportunity to work
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. This project will suit applicants interested in energy systems, modelling and the decarbonisation of marine transport. The project is part of the Process Industries: Net Zero (PINZ) Centre for Doctoral
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position is part of the national research programme DDLS. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels
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PhD Studentship - Process Industries: Net Zero CDT: Lifecycle & Systems Modelling of Future Marine Fuels and Engine Systems Award Summary 100% fees (UK home only), a minimum tax-free annual living
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PhD position: Global soil mapping with process-informed machine learning Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline
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application! We are now looking for a PhD student in Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Your task will be to analyse and adapt vision
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image processing and physics-informed machine learning? Would you like to work together with competent and friendly colleagues in an international environment? Are you seeking an employer that offers safe
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processing methods, are typically designed for operation in static environments: a model is trained on a fixed dataset and subsequently deployed for inference. However, real-world environments are often