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Field
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therefore a key challenge for the green and digital transition. In this project, you will apply state-of-the-art AI methods to optimize functionalized membranes for selective rare-earth recovery, helping
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to pose increasing risks to public health in Europe. This project aims to develop a new data-driven framework to assess invasion risk and optimize mitigation and surveillance strategies in the EU. The
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optimize production. Supervisor: doc. Ing. Martin Kotus, PhD. More information about PhD position: https://tf.uniag.sk/sk/doktorandske-studium-2 Additional admin information: renata.zahorska@uniag.sk Where
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Palmas de Gran Canaria (ULPGC) is seeking a Doctoral Researcher (ICP1 level) to join the research project: “Optimal Design of Multipolar Stimulation Patterns in Cochlear Implants through Numerical
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scales, and require high-dimensional parameterizations. A single high-fidelity simulation of the full system is often too expensive to be used repeatedly, for instance in optimization, uncertainty
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environment. Key research Objectives: AI Innovation (Taxonomic Identification): Developing and optimizing deep-learning architectures (e.g., YOLO) for the automated detection and classification of nocturnal
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vertical devices, it’s crucial to ensure uniform current flow across the entire device area. Structural modifications like current spreaders, channel regrowth or optimized electrode designs help mitigate
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NTNU and the application process here. About the position This PhD position will be hosted at the Department of Engineering Cybernetics (ITK), holding peak competences in decision-making, optimization
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, optimization, control, and AI for cyber-physical systems. The position will be part of the research center Northwind, be closely integrated with the activities of the Norwegian Center on AI for Decision (aiD
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(ITK), holding peak competences in decision-making, optimization, control, and AI for cyber-physical systems. The position will be part of the research center Northwind, be closely integrated with