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software. Familiarity with gravitational-wave modeling and catalog/campaign paper authorship. Physical Requirements & Working Conditions None Degree Requirement Listed degree qualification is required
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knockdown and knockout approaches, and conducting experiments in cell culture and mouse models. You will work under limited supervision as part of a collaborative research team, contribute to high quality
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complex materials systems. Advanced data analysis and scientific model development using Python or other scientific programming languages, including experience with automation, instrumentation control
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
connected to phylogenetic software, methods and models, molecular evolution, hybridisation and introgression, and the evolutionary histories of eucalypts, viruses, bacteria, and Archaea. The ANU Phylogenomics
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: Development and calibration of numerical models of pilot networks to explore the use of multiple monitored parameters (pressure, flow rate, basic and advanced water quality parameters) for anomaly detection
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focus on the conceptualisation and prototyping of spatial data infrastructures and registries for space environments and objects. The role involves research into spatial data models for representing
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, or engineering of AI models or methods and their applications in cognitive science. The AI Postdoctoral Research Fellow joining the NAM initiative will contribute to one or both current core projects, "Explanation
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to developing new models, techniques and methods, relating to early executive functions, motor skills, and parent-child play Undertake management/administration arising from research Contribute
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develop foundational security theory for agentic and multi-agent AI systems, as part of our research programme in multi-agent security. You will build formal models of security-relevant behaviour in
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interfacial processes in complex materials systems. Advanced data analysis and scientific model development using Python or other scientific programming languages, including experience with automation