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models ranging from baseline approaches to graph neural networks. You will also oversee the open release of project datasets, models, code and documentation. The successful candidate will join Oxford's
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neural networks, covering representation, optimisation, generalisation, robustness and reliability, while remaining sufficiently tractable to inform engineering practice. A key objective is to transform
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omics dataset generated to infer alterations in gene regulatory networks and cell-cell communication pathways responsible for the neurodegeneration. These predictions will be functionally validated using
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plus · Experience with one or more of representation learning, generative modeling, graph neural networks, transformers, or foundation model pretraining and fine-tuning is a plus
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Reference Number BAP-2026-500 Is the Job related to staff position within a Research Infrastructure? No Offer Description Modern embedded AI systems rely on Deep Neural Networks (DNNs) running on resource
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on diverse topics ranging from how organisms age or how our DNA is repaired, to how epigenetics regulates cellular identity or neural memory. Activities and responsibilities The research group of Anton
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studies on cognitive and neural mechanisms of creativity, and to studies employing neuromodulation-, training-, and curriculum-based approaches to enhance creative cognition and executive function
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specialized domains, such as Tabular Foundation Models. The core principle of these neural network models is that they are optimized for a specific form of data; in the case of tabular data, for instance
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at UMass Boston is a vibrant and collegial group of faculty with research interests in Artificial intelligence, Data Science, Bioinformatics, Neural networks and programming languages, and significant
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interdisciplinary areas. Research fields of particular interest include, but not limited to: biomedical science and engineering veterinary science computer science and data science neuroscience and neural