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, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative modelling (diffusion/transformers), multimodal representation learning, and experience in
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(completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative modelling (diffusion
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Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative
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Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative
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to explore material systems that host novel types of correlated electron ground states as well as pushing forwards the limit of the implementation of brain-inspired computing in materials. You will use a
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large genomics data and later incorporating the testing on known unwanted linkages. You will primarily be responsible for building a machine learning model and performing computational genomics
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Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative
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an ERC consolidator and Proof-of-Concept grant, two EU Joint Programme - Neurodegenerative Disease Research (JPND) grants, and grants from the Radala Foundation for ALS Research, the Muscular Dystrophy
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collaboration to advance climate adaptation and flood resilience in tidal estuaries. BONSAI is a project within the EU programme Interreg North-West Europe that aims to enhance flood resilience in tidal estuaries