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Field
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interpretation is subjective, heavily relying on clinician expertise. This project funded by the Hanarth fund combines ultrasound imaging with histopathology data to train advanced AI models for automatic tumor
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to create smart, sustainable, and equitable mobility systems. In our 12 collaborative labs we apply advanced technologies such as sensing, data analytics, modelling, and AI to turn scientific research
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for this position, the following is required: PhD in a relevant field such as data science, AI, computer science, machine learning, Earth system science, climate etc. with a thesis subject relevant to the description
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who meet the following criteria: PhD in a related discipline. Expertise in one of the following areas: Single-cell and spatial transcriptomics, whole genome sequencing, proteomics, organoid modelling
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on the context. To tackle this challenge, we are seeking a postdoctoral researcher with expertise in speech signal processing, optimization, machine learning, and models of hearing and perception. This is a full
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of computer vision, machine learning, and behaviour & dialogue modelling. If you have questions about the position you wish to discuss before applying, please contact Esam Ghaleb: esam.ghaleb
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of computer vision, machine learning, and behaviour & dialogue modelling. If you have questions about the position you wish to discuss before applying, please contact Esam Ghaleb: esam.ghaleb
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perovskites — for applications in sustainable energy, spintronics, and quantum technologies. By combining physics-based theory with data-driven models, you will contribute to the next generation of predictive
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Challenge: Managing flood risk in vulnerable interconnected regions. Change: Advancing hydraulic modelling and NBS for resilience. Impact: Protecting communities with smarter adaptive strategies
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join TU Delft as a postdoc on the CHESS project to model, design