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used in producing fine chemicals, including pharmaceuticals. By leveraging state-of-the-art advances in computer vision and machine learning, we aim to manipulate Particle Size and Shape Distribution
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, natural language processing, and computer vision is advantageous. Proficiency in common machine learning frameworks (e.g., PyTorch, TensorFlow, MxNet, Huggingface-Transformer) is highly desirable. Not
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in humanitarian assistance and disaster response to carry out life-saving efforts. Automatic information extraction from high-resolution satellite sensor images collected from disaster-affected areas
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measurements against optical methods such as digital image correlation). Additionally, the candidate will be trained on the development of machine learning algorithms developing advanced skills in both
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Movements in Health & Disease using MRI imaging and Computer Vision Novel self-oxygenating and cell-instructive materials for chronic wound healing Requirements Applications are invited from students with
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, fluorescence, fluorescence lifetime imaging and absorption spectroscopy. Collaborate with senior colleagues in order to prepare papers for journals and presentations for national and international conferences
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characterisation tools to test sensor applicability (e.g. test performance in biomaterial phantoms) and benchmark sensor quality (e.g. compare strain measurements against optical methods such as digital image