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beautiful shoreline and coral reefs. The campus is striking architecturally, and the facilities are outstanding (OIST campus video tour ). There are no academic departments, which facilitates
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on the integration of systems for optimized energy consumption, generation, and storage in the built environment at multiple scales. Our research focuses on efficiency, decarbonization, resiliency, affordability
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at the intersection of numerical linear algebra and advanced HPC. The candidate will join an international environment, with opportunities to collaborate with experts from the USA, and KAUST and publish in top-tier
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students. Maintain laboratory instrumentation and follow applicable safety standards. Qualifications: Appropriate PhD in Chemistry or related field. A well-qualified candidate may also possess: Experience in
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are looking for an organized individual, comfortable working collaboratively with other disciplines and large teams (i.e. engineering, design, bioengineering, environmental science, landscape architecture
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) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities in
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collaborative research environment. Education, Qualifications and Experience We are looking for outstanding candidates with a PhD in physics, electrical engineering, applied mathematics, computer science, or a
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for extinction risk prediction Qualifications We are looking for a candidate who has: As a formal qualification, you must hold a PhD degree (or equivalent) in bioinformatics, computational biology, evolutionary
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on the University of Sydney School of Geoscience's globally recognised expertise in the development and application of open-access numerical plate tectonic, thermomechanical, landscape evolution, paleoclimate and AI
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development and maintenance of epithelial tissues and how alterations in progenitor cells and their environment contribute to disease. The advertised project aims to characterize the functional relevance