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exposure to smart cities, IoT/sensor data, SCADA, GIS, or urban water management. EVALUATION CRITERIA The selection will be based on the following criteria: Academic merit and relevance (30%): grade history
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and progress, be rewarded and recognised, and benefit from our strong commitment to your wellbeing. There are so many reasons to join us. The Opportunity: Conduct original research on neuronal networks
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Network HORIZON-MSCA-2024-DN-01 on Wind farm control and integration in sector-coupled power systems (WindConnect). This doctoral position is part of WindConnect ("Wind farm control and integration in
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culture with various staff networks and resources to support your personal and professional wellbeing . Further Information: As part of your application, you are required to submit a 1000 words research
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participate in internal and external networks. To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria
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skills and ability to work across disciplinary boundaries. Desirable: Experience with image-based modelling workflows (CT/XCT segmentation-to-mesh pipelines). Experience with inverse problems, uncertainty
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models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly
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language processing and other AI methods in health and life sciences datasets Expertise in advanced computational methods such as network analysis, graph databases and structured and unstructured data mining tools
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of IODP Expedition 399 (>40 researchers, >12 countries), providing you with unique opportunities to participate in IODP-led research initiatives and develop your research identity and network within a
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Actions (MSCA) Doctoral Network funded by the Horizon Europe programme. About the project/work tasks: Thunderclouds are the most energetic natural particle accelerators on Earth, capable of accelerating