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Position Number: 0065812 Location: Parkville Role type: Full-time; Fixed-term until 23 December 2026 Faculty: Science Department/School: Mathematics and Statistics Salary: Level A - $83,468
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Australian National University | Canberra, Australian Capital Territory | Australia | about 14 hours ago
approaches to model uncertainty for learned computer vision systems, including dense prediction. The position will develop novel methods for deep learning in computer vision that accurately quantify their own
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Position Number:0065812 Location: Parkville Role type: Full-time; Fixed-term until 23 December 2026 Faculty: Science Department/School: Mathematics and Statistics Salary: Level A - $83,468
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activities: Collaborate in the definition of the procedure for managing the information and metadata of 2D and 3D images of cultural assets, in accordance with national standards for heritage.Quality
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previous qualifying position PhD Fellow, research assistant, or the like in such a way that the total time used for research training amounts to three years. We process personal data given in an application
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/epigenetic cancer research are encouraged to apply. This position is ideal for a recent (or soon to be) PhD graduate who is interested in strengthening their experimental, analytical, and publishing skills
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years of research experience in biology or a related discipline. Publication record demonstrating computational skills in image processing or genomic data analysis. Proficiency in rodent neurosurgeries
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Posting Details Position Details Title Postdoctoral Fellow in Inner-Ear Biology Specific Title Appointment Type Postdoctoral Fellow Department IUSM - Otolaryngology-Head & Neck Surgery Campus IU
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Application Required Documents Curriculum Vita To start the Online Application process for this position, click the "Apply for This Position" button located below the Contact Information. Contact Information
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The Position The Translational Medicine (TM) department at Genentech is seeking a highly motivated Postdoctoral Fellow (Bioinformatics) to lead analysis of complex biological datasets related