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NDPH Fellowship programme is intended to support suitably experienced individuals to develop an independent research area which will enhance Population Health research in Oxford. You will be responsible
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NDPH Fellowship programme is intended to support suitably experienced individuals to develop an independent research area which will enhance Population Health research in Oxford. Under the guidance
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, engineers, computer scientists, nuclear medicine physicians, …) towards the overall aim of enabling translational and physician-in-the-loop AI for medical imaging. Our research team is multicultural and
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Role type: Full-time ; Fixed-term for 2 years Faculty: Science School: School of Mathematics and Statistics, Melbourne Integrative Genomics (MIG) Salary: Level A.4 - A.6 AUD $100,214 - $108,156
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public engagement. This is a unique opportunity to contribute to a nationally significant research program with real-world impact. If you are passionate about environmental science and ready to take the
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, data science or mathematics OR a good Honours Degree and an appropriate professional qualification and/or membership PhD or active membership of an appropriate professional body is advantageous. Our
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outcomes through conferences, seminars, and public engagement. This is a unique opportunity to contribute to a nationally significant research program with real-world impact. If you are passionate about
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statistics, physics, computer science, artificial intelligence, or a related quantitative field Experience with mathematical/statistical modeling and/or machine learning/Al methods Strong interest in
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Andalusian government postgraduate scholarships for students from Andalusia to study abroad at selected institutions. Courses eligible Doctor of Philosophy (PhD), Professional Doctorate Eligibility / selection criteria Applicants must be connected to Andalusia by birth, residence, work,...
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of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics