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models: deep learning (4D CNNs, Transformers, RNNs) on fMRI and ECoG data Explanatory AI: Applying machine learning models to guide post-stroke neurorehabilitation Predictive AI: Optimizing deep
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learning applications in biomedical research • Deep learning and predictive modeling • Natural language processing and large language models for biomedical data • Drug response prediction and
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Primary supervisor David Dowe Co-supervisors Ron Firestein Research area Machine Learning The proposed PhD project aims to build a machine learning/deep learning-based decision support system that
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Primary supervisor David Dowe Co-supervisors Ron Firestein Research area Machine Learning The proposed PhD project aims to build a machine learning/deep learning-based decision support system that
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experience in process-based modeling/data analytics/deep learning are preferred. Key Responsibilities: Strong candidates will join or take the lead of one of the following projects: Soil organic carbon
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experience in process-based modeling/data analytics/deep learning are preferred. Key Responsibilities: Strong candidates will join or take the lead of one of the following projects: Soil organic carbon
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Apply now » Internal Research Fellow (PostDoc) in Theory of Deep Learning Job Requisition ID: 20829 Date Posted: 5 August 2026 Closing Date: 2 September 2026 23:59 CET/CEST Publication: External
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expected to have: A doctorate in a Machine-Learning related field A deep knowledge of Control Theory, both classical and deep learning based A solid publication record in top level ML venues such as
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Summary The research laboratory is seeking a motivated undergraduate student to assist with ongoing research projects in machine learning, deep learning, computer vision, and related areas. The
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learning; distributionally robust optimization; 2) Graph Neural Networks, Large Language Models (LLMs), and geometric deep learning; and 3) federated learning and privacy preserving computing. Basic