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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 days ago
Classification: Academic Level A/B Salary package: $89,313 - $137,870 per annum plus 17% superannuation Term: Full-time, Fixed Term (Up to December 2027) Position Description and Selection Criteria
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management/administration processes Desirable Experience working with Drosophila, live calcium imaging, Matlab/Python programming and/or behaviour A good publication record in neuroscience. Further details
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representations from large datasets, enabling effective application across different imaging modalities and tasks. The position aligns with the school’s mission to advance research on AI in medicine and improve
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the discipline carry out administrative tasks and contribute to faculty or school meetings contribute to a positive workplace culture in which diversity of thought, collaboration, excellence and achieving outcomes
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of speech, audio, time-series or signal processing is required. Ability
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you You will have: PhD in developmental biology/biophysics/cell biology or in the final stages of PhD submission. Strong expertise in advanced confocal and/or light sheet imaging. Strong expertise in
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A position is advertised for a self-motivated and ambitious Research Associate/Fellow to contribute to a major £5M BBSRC Strategic Longer and Larger (sLoLa) Grant investigating the fundamental rules
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, high-level industry collaboration, comprehensive facilities and resources have positioned it as a leading hub for 3D printing research and innovation globally. We are seeking a Research Fellow
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translational science. About You This position is ideal for a clinician seeking to develop expertise in advanced cardiovascular imaging while contributing to work with clear potential for patient benefit. The