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Field
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, typically using plant weeds as models. The successful candidate will have access to a vibrant intellectual community and state-of-the-art facilities in the new Biological Sciences Building at Michigan
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advanced modelling capability for large-scale data centre energy demand. Strengthen grid power flow analysis in collaboration with the Energy Flexibility team. About CSIRO As Australia's national science
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· Collaborate on biochemical, cellular, and in vivo validation studies (ELISA, keratinocyte assays, murine psoriasis models) · Analyze and integrate chemical, biophysical, and biological data for publication
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, is organised as a section at the Department of Geosciences. PHAB’s main goal is to develop predictive models to identify habitable planets around other stars. Within three different research themes: (1
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essential): Prior experience or demonstrated interest in economic input–output analysis, including multi-regional input–output (MRIO) frameworks or supply-chain modelling. Prior experience in research
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and magnetic data to map subsurface structures 3. Basin modelling, with knowledge of sedimentary processes and tectonic evolution The project would contribute to mapping the thickness of sedimentary
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mission to ignite positive changes in the quality of health across the world. The Department of Epidemiology is seeking 2-3 postdoctoral researchers for projects related to mathematical modelling and
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 18 days ago
-driven Earth science. The successful candidate will develop independent and collaborative research that integrates large-scale geodynamic and plate-reconstruction modelling with advanced statistical and
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expected to lead a defined viral immunology project that will involve working with human specimens to assess viral immune responses, using mouse models to test novel antibody-based therapeutics, and working
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topics include (a) AI, machine learning, and large language models for measurement challenges (e.g., for small-sample calibration or for accelerated algorithms), (b) identifying and investigating aberrant