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Context Recent advances in computer vision and generative AI have enabled major breakthroughs in image and video understanding. However, modern deep learning models remain critically dependent
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experience and evidence against the published criteria. Ideal candidate: The successful candidate will have a PhD (awarded or expected within 6 months) in Computer Science, AI, Machine Learning, Computational
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/artificial intelligence methods. The Research Associate will have significant experience in research into neurodegenerative disorders using speech and deep learning technologies. They will establish the design
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environment within the Physical Vision Group (PVG, https://physicalvision.github.io/ ). This will involve closely collaborating with faculty, postdoctoral researchers, and PhD students, bridging foundational
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deep learning has led to the emergence of Transformers-type networks whose performance has revolutionized the field. These networks are the basis of next-generation image processing models (such as
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or computational protein design. In particular, you will have: A PhD, or near completion of a PhD, in machine learning, structural bioinformatics, computational biology, computer science or a closely related
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specific emphasis in cognitive neuroscience. Successful candidates are expected to establish and maintain an active and independent research program, teach effectively at both the undergraduate and graduate
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Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate
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Purpose The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready
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https://vbhi-institute.org/en/). Its mission is to improve brain health by reducing the risk of stroke and dementia through a deeper understanding of cerebral small vessel disease. Established as a