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perception built with machine learning. They will build on the lab's expertise in deep computational models of the auditory system and in particular on recent work building models of prosthetically
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perception built with machine learning. They will build on the lab’s expertise in deep computational models of the auditory system and in particular on recent work building models of prosthetically enabled
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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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process-based modeling/data analytics/deep learning are preferred. Key Responsibilities: Strong candidates should take the lead of at least one of the following responsibilities: 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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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