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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 11 days ago
Australia Application Deadline 4 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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months/ Full time commitment. Target Degree: PhD degree from Rovira y Virgili University (URV) Link to doctoral program: https://www.urv.cat/en/studies/doctoral/ Salary: The gross monthly remuneration
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) Country Hong Kong Application Deadline 1 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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to advanced computational analyses and ultimately to clinical trials aimed at improving cancer therapy. All of this takes place within a dynamic, interdisciplinary research group led by Åsmund Flobak
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(e.g., tensor or multi-modality data). Work with other researchers and PhDs to develop AI applications related to image processing, computational imaging as well as computer vision. Lead a team of junior
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Qualifications: Education: PhD in the Biological Sciences. Work Experience: 5 year of lab training in the field of regenerative medicine or immunology or cancer biology or radiation biology, which included running
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37,5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This is NTNU
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of these publications and your part in these. Selection Criteria: Essential PhD in Computer Science, Informatics, Data Science, Statistics, or a closely related area. Substantial research experience in applied Artificial
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) Country United Kingdom Application Deadline 15 Dec 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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of the physical world, from shops to museums, cars to classrooms. Despite significant progress in computer vision, long-standing fundamental challenges adversely impact on audio technologies, preventing immersion