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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 10 days ago
issues/edited collections and present and participate at conferences and contribute to publications. The Person The successful applicant will hold a PhD in either History, Heritage/Museum Studies
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to the process of securing funds and make presentations at conferences and other events. Applicants will possess a relevant PhD or equivalent qualification/experience in a related field of study. The successful
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% teaching component.) The Role The Macquarie University Lighthouse Fellowship (MQLF) supports researchers within three years of the award of their PhD who have an outstanding track record (relative
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, focusing on the development and application of data analytics methods to process multimodal data to provide clinically useful insights into bipolar disorders. This is part of the £3m 5-year Wellcome Trust
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and imaging technologies. Current research themes include cell signalling and decision making, tissue architecture, homeostasis and regeneration, cell-matrix biology, RNA biology and the physics
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, the quality of the PhD dissertation and publications, the applicant’s personal prerequisites and motivation to carry out the project and teach at the department. The hiring process will include an interview
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radiological data, such as MR, CT and pathological images. Required Qualifications* The ideal candidate will have: A PhD degree in computer science, electrical or biomedical engineering, or medical physics
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) Positions PhD Positions Application Deadline 18 Mar 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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programme Reference Number EUMETSAT-LSA SAF CDOP4 Agreement Is the Job related to staff position within a Research Infrastructure? No Offer Description 1 (one) Research Fellowship (BI) for a PhD Student 1
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have a PhD in physics, biology, or a related field by the time of appointment. The ideal candidate will also have demonstrated experience in machine learning and biological data analysis and a strong