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conferences/journals. Candidate must have prior work experience in vision related problems and experience in deep learning (preferably using PyTorch). We are open to discussing flexible working arrangements
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) About the Project Deep learning models, and in particular large language models (LLMs), have demonstrated remarkable capabilities but remain limited by their heavy computational requirements, lack
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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equivalent. More than 2 years of research experience preferred. In-depth knowledge of deep learning, specifically, 2D and 3D object detection and segmentation, SAM, foundation models, diffusion models
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the next generation of healthcare professionals and social care leaders through hands-on learning, expert teaching, and strong industry partnerships. Our courses are designed to meet the demands of real
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the next generation of healthcare professionals and social care leaders through hands-on learning, expert teaching, and strong industry partnerships. Our courses are designed to meet the demands of real
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to solve problems independently • Good written and spoken English • Advantage: knowledge of AI methods, signal processing, and/or statistics; familiarity with basic methods and frameworks for deep learning
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of genome organisation and metabolic control - with the bold vision of building synthetic life. In this role, you will develop and apply deep learning methods to analyse single-cell modalities, focusing
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Job Purpose The Professional Officers Division (POD) houses a centralized pool of academic staff under the Professional Officers scheme. Professional Officers come with specialised and deep
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this short-term project we shall use active learning to accelerate the training of deep learning algorithms for optimising 2D material van der Waals (vdW) structure discovery. The goal is to make model