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. This scholarship aims to support PhD-level studies on FAE by exploiting a new methodology that combines deep learning technology and knowledge graphs. The goal is to research and develop a new Decision Support
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, economics, and related disciplines. The position aims to strengthen Wadham’s tradition in economic history, a field with deep roots in the College. Notable alumni include Henry Phelps Brown, the first
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Science , Data Science and Information , Data Visualization , Deep Learning , High dimensional Data , Large Language Models , Large Scale Optimization , Machine Learning , Natural Sciences , Public Interest
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, mathematical criteria stability and robustness of neural networks, applications of topology and geometry to deep learning, the topology and geometry of data, or the dynamics of learning. The successful candidate
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involves building and training deep-learning models for TEM image reconstruction and interpretation, linking image features to local chemistry, defects, and dynamic transformations under varying
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, medicine, cardiovascular research) and significant research experience (10+ years). Deep knowledge of laboratory and animal research methodologies, including NHMRC ethics requirements. Demonstrated capacity
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, deep learning, or computational modeling with demonstrated application in life sciences, aquaculture. Proven track record of high-quality publications in relevant international journals or conferences
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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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, and they will be expected to lead and contribute to future funding bids. We are seeking an ambitious, self-motivated researcher who has expertise in machine learning, deep learning and graph neural
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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