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Field
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candidate is expected to develop an independent research programme within this broad scope, focusing on methodological innovation and the application of modern AI approaches to large-scale biomedical data
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to prevent, halt, and reverse damage from disease and injury. We are looking for recruits whose research program that align with any of the current research themes at ARMI: https://armi.org.au/our-groups
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approaches to large-scale biomedical data. Research topics may include foundation models for longitudinal electronic health records and genomics, multimodal learning integrating health records with molecular
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candidate is expected to develop an independent research programme within this broad scope, focusing on methodological innovation and the application of modern AI approaches to large-scale biomedical data
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A PhD in Bioengineering, Biomedical Engineering, Electrical Engineering, Mechanical Engineering, and/or Neuroscience Additional Qualifications Experience in tissue culture, neuromuscular diseases
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annum dependent on qualifications and experience, in line with current pay protection and transitional arrangements in the NHS. This is a full time (100% FTE), fixed term position for 24 months
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annum dependent on qualifications and experience, in line with current pay protection and transitional arrangements in the NHS. This is a full time (100% FTE), fixed term position for 12 months
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, including parsing and processing large document corpora. Strong understanding of machine learning or AI methods applied to health or biomedical data. Demonstrated ability to assess model outputs, identify
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» Health law Economics » Health economics Engineering » Biomedical engineering Researcher Profile Established Researcher (R3) Positions PhD Positions Application Deadline 23 Aug 2026 - 23:59 (Europe/Brussels
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of the following courses: - PhD in Informatics, Chemical and Biological Engineering, Biomedical Engineering; - Non-degree course. Requirement for granting the fellowship: The applicants may apply without prior