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desorption using waste heat from high-temperature systems. Develop process flow diagrams (PFDs) and system-level models for integrated hydrogen-energy systems. Perform multi-physics modelling (thermal, fluid
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Do you have a strong technical background in Machine Learning and Numerical Modelling? Are you interested in working with industry to develop Machine Learning methodologies and protocols needed
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computational seismology, specifically AI-driven full-waveform inversion using diffusion-model approaches. Responsibilities Perform research in AI-driven waveform inversion using diffusion models. Investigating
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a wide variety of conditions. But the current generation of these models struggle to accurately capture interactions between watershed hydrology and crop performance. In collaboration with the mentor
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), grew some of the first synthetic large quartz crystals, and developed the titanium alloy Ti-6Al-4V. Currently, ARL scientists and engineers are pioneering research in such areas as neuroscience
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coastal dynamics, with a focus on how human interaction shapes flow regimes, sediment processes, water quality, and environmental change. Using advanced field methods, remote sensing, and hydro and
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leading research-intensive Universities? Cardiovascular orientated research is focused on the links between metabolism, inflammation and atherothrombotic disease. The current post is a British Heart
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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community and beyond Build practical expertise in molecular genetics, cell culture, plasmid assembly, sequencing, and zebrafish models Full time, fixed term position for 3 years based in Hobart About the
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disease. The lab integrates molecular virology, immunology, and advanced disease models to investigate how emerging viral infections reprogram host immune responses and disrupt tissue homeostasis across