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learning, deep learning and graph neural networks. You should have experience of building machine learning models for environmental applications. A high level of data science and computational expertise is
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seek to develop deep technologies that are informed by threat models for the emerging area of personalised medicine, and specifically where patient stratification or treatment personalisation leverages
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The Princeton Plasma Physics Laboratory seeks doctoral thesis students who are enthusiastic, passionate and have a deep interest in and strong desire to pursue a career in plasma physics, fusion
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team developing novel deep learning approaches with real-world impact in the space domain. This is an exciting opportunity for a motivated researcher to build on a strong academic publication record
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of programming and artificial intelligence.; - Knowledge of deep learning and computer vision.; - Autonomy. Minimum requirements: Strong knowledge of the English language (written and spoken). 5. EVALUATION
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and protect patients’ vision. The successful candidate will develop novel deep learning approaches to model longitudinal sequences of high dimensional OCT images, identifying biomarkers for conversion
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, algorithmic, AI and communication skills. Proven track records of working in rapid R&D environment with wealth of experience in path planning for robotic arms, reinforcement deep learning and AI. Good
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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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At the heart of SIT’s mission is to nurture industry-ready graduates equipped with deep technical expertise and transferable skills to tackle tomorrow’s challenges. SIT collaborates with industry in
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At the heart of SIT’s mission is to nurture industry-ready graduates equipped with deep technical expertise and transferable skills to tackle tomorrow’s challenges. SIT collaborates with industry in