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Field
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Responsibilities: Conducting regular field work to collect seismic data in Indonesia and Singapore. Seismic data processing and analysis. Implement multiscale subsurface imaging and inversion algorithms
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
& PEWER_Level B_Research Fellow_SOCO_CSS_2026.pdf Opportunity to work on a high-impact Defence-funded research project under the ASCA Emerging and Disruptive Technologies program. Develop cutting-edge AI planning
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oppdatert 24.03.2026 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller
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mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få
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his/her scientific training. In particular, it is intended to develop and apply remote sensing methodologies and tools for the detection and modelling of habitats, as well as the extraction
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capacity to process complex simulation data, fine-tuning its interpretation algorithms, and ensuring that gap-filling recommendations are both biologically plausible and supported by external resources
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pursues disruptive qubit research, innovative workforce development programs, and deep, collaborative partnerships to tackle some of the hardest open problems in quantum information science and technology
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approaches and validation procedures behave as the data-generating process departs from idealized conditions and as dimensionality, heterogeneity, and structural complexity increase. The project will develop a
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uncertainty, and explainability and reliability. The project will have an applied focus, so the aim is to develop algorithms and implement these in systems that enable testing and evaluation in collaboration
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and