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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Computational Pathology, Medical Imaging, and Clinical Text Analysis Department Bashashati
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management decision recommendations. You will collaborate directly with scientific staff to implement experiments and evaluate stress detection and decision support recommendation accuracy. Field data
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to staff position within a Research Infrastructure? No Offer Description As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry in its research
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care for HIV, PEP/PrEP, hospice and palliative care, homeless/marginally housed populations, rural populations experience, mental health and public health/harm reduction. The Fellow will learn to collaborate
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care for HIV, PEP/PrEP, hospice and palliative care, homeless/marginally housed populations, rural populations experience, mental health and public health/harm reduction. The Fellow will learn to collaborate
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collaboration between Cranfield University, LIPTON Teas and Infusions, Browns East Africa Plantations and the UK Tea and Infusion Association. The project seeks to improve the sustainability of tea production
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that the Research Fellow will acquire. Access to career guidance will be provided throughout the doctoral education. Research topic The PhD Fellow will join the research group in risk management and societal safety
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privacy, federated learning). Track record of first-author publications in relevant venues and collaborative open-source contributions. Department Contact for Questions Professor Jiang Bian via email at
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processing and statistical machine learning techniques to mine self-reports and sensor data to gain new insights towards assessment and longitudinal monitoring of bipolar disorder; Work on sleep datasets
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that drive discovery. As part of the Bioinnovations in Brain Cancer initiative, the Fellow will be part of a broad collaborative environment to push state-of-the-art cancer research. This is a founding