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Field
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multi-model large ensemble datasets under the Regional Aerosol Model Intercomparison Project (RAMIP), the Researcher will help quantify the role of aerosols—relative to greenhouse gases—in shaping
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Diseases, School of Medical Sciences, Faculty of Medicine and Health. You will design in vitro and microfluidic-based model systems to evaluate vascular interactions related to medical device complications
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dynamical models from data a productive and collegiate attitude to working in diverse interdisciplinary teams. Pre-employment checks Your employment is conditional upon the completion of all role required pre
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to optic nerve degeneration. Our research spans cutting-edge imaging technologies, drug discovery from small molecules to gene therapy, metabolomics, and experimental models ranging from human neurons
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processes in Australia. The second will involve a climate or biodiversity deliberative assembly based in Europe. Your key responsibilities will be to: document and analyse existing models of MtHR and what is
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epidemiological study designs and biostatistical modelling approaches to a broad range of health and environmental data. The team address policy relevant research with a focus on translating the results
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on developing phase-field models for modeling the templated grain growth and piezoelectricity of ferroelectric piezoelectric crystals and work with other experimental groups in the to be funded ONR MURI project
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expertise in climate science, hydrology, earth and planetary science, and physically-based or machine-learning/AI-based climate modeling (e.g. hydrometeorological and/or atmospheric processes
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networks. The candidate needs to have a strong background in ML programming, particularly large-scale models, and working with LLM. Familiarity with system security and anomaly detection is desirable. To be
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atmospheric chemistry, air quality, and model development. Basic Qualifications: Ph.D. in atmospheric science and substantial experience in modeling of atmospheric composition. Additional Qualifications