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benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: ● Research and develop novel reliable deep learning computer vision algorithms for the detection and quantification of GIM lesions
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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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to advancing machine learning in biomedicine. The Program focuses on developing and applying cutting-edge AI approaches to address key challenges in molecular biology, clinical research, and translational
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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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learning algorithms (Deep learning, Reinforcement learning, etc.); Proficiency in written and spoken English - essential for data analysis and communication with stakeholders Excellent oral communication
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within a Research Infrastructure? No Offer Description Introduction As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the
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develops new intellectual understanding, for example generative AI, and deep learning-based methods. About You You will have extensive experience of working with large data sets. Candidates are expected
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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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technical expertise and actively share knowledge with other researchers at Flinders. About You You are an accomplished researcher with deep expertise in cancer research and a proven ability to lead projects
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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