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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 25 days ago
supervision, publication and publicity activities, code development, and collaboration with industry, open source, and academic partners. The project goal is to develop and demonstrate a stochastic design
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of integrative molecular profiling and large-scale datasets (e.g. pathology images and clinical notes) to enable new discoveries across multiple patient contexts. A specific focus on advancing algorithm
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and make particle beams more accessible for uses such as medical imaging. However, reaching very high particle energies in plasma accelerators is challenging. We are offering a postdoctoral position to
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UiO/Anders Lien 9th February 2026 Languages English English English Join a vibrant team at the University of Oslo as a PhD Research Fellow in Deep Learning for geoscience imaging! PhD Research
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Postdoctoral Fellow in Neutrino Astrophysics Position in the School of Physics - Otte Research Group
using air-shower imaging telescopes. Trinity targets earth-skimming tau neutrinos above ~1 PeV through imaging of upward-going air showers near the horizon. The first phase of the project, the Trinity
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. candidate will use mammalian cells, organoids, and animal models, and employ a range of approaches, including cell culture systems, diverse molecular techniques, and advanced imaging. The project will involve
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the candidate will apply both wet lab molecular biology, genome editing, trait phenotyping, imaging/microscopy, and computational methods to meet this aim. The project aims to advance the mechanistic
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of images of galaxies with photometric redshifts that can be used to extract the gravitational lensing effect caused by the distribution of dark matter in our Universe. The successful candidate will be
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pathomechanisms and developing prototype drug candidates. Project outcomes will be protected as intellectual property and will provide a foundation for translation through clinical studies and appropriate
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generated large-scale, multimodal datasets spanning neural imaging, electrophysiology, behavior, and molecular profiling. While these data offer unprecedented opportunities to understand brain function