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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
everything we do. Our lived experience is increasingly one of large-scale systems of people, whose actions and interactions are influenced by our digital, physical and biological environment. The ANU College
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and economic interactions underlying the use of digital technologies, analytics, and artificial intelligence in the healthcare sector. Candidates with a strong background in their disciplinary theories
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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This is NTNU NTNU is a
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of this position are the following: Conceptualizes, designs and implements research and program evaluation projects in support of the lab’s mission. Based on a thorough knowledge of the field and the research
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We invite applications for multiple Postdoc positions in the Accelerated Connected Computing Lab (ACCL) at KAUST! The new research group, supervised by Suhaib Fahmy explores hardware acceleration
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, computer science, architecture, and engineering to develop scalable, data-informed solutions in sustainable design, construction, and energy management. The Cluster aims to modernize—and ultimately revolutionize
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improved process understanding. Development of open-source tools for training and optimization of machine learning surrogates. Interacting with multiple faculty members within the department, as
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: Computational methods development and consortium data management for the Human Virome Program, with the mandate to characterize viral (phage and eukaryotic) communities across the human body in health and disease
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assessment, malware analysis, privacy technologies, and AI security. AI and Emerging Fields: Smart healthcare, IIoT, computational fintech, robot-human interaction, trustworthy AI, explainable AI, large
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., gameplay, interactions, procedural content generation, dynamic narratives), and integrating a multimodal detection pipeline, ensuring real-time performance, scalability, and deployment readiness in alignment