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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 1 month ago
candidate will be expected to develop testable hypotheses that can be applied to new model systems, such as bee colonies, in collaboration with the project team. The research will be conducted in close
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collaborating with industry partners on a project aimed at developing kinetic Monte Carlo simulations to model epitaxial growth processes. The goal is to control and optimise the growth of nanoscale structures
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outcomes to end users. Coordinate the upload and curation of at least 250 samples annually to the EarthBank platform and contribute to data model development and refinement. Teaching: Support EarthBank’s
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tools to tackle some of the most complex questions in brain science. As a Level A research-only academic, you will contribute to projects that integrate computational models with experimental neuroimaging
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, population-level empirical tests, and simulation modelling to explore the evolutionary roles of nutrition, reproductive investment, sexual conflict, and competition in the development of Semel parity in males
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discipline. An emerging profile in research in demography or a cognate area including statistical modelling of population process and dynamics. Evidence of publications in reputed refereed journals and
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the people who discover them The Opportunity This Research Fellow position sits within a Wellcome-funded initiative focused on evaluating animal models in mental health science and developing a publicly
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infrastructure, enabling sophisticated geospatial, isotopic, geochemical and temporal analyses of critical mineral systems. Develop and implement data models following FAIR data management guidelines and tools
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research ability in the economic analysis of illicit markets, financial crime, trade economics, or related areas, as evidenced by a strong record of data analysis, modelling, and scholarly publication. A
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to carry out research in the field of plant breeding, phenotyping, crop modelling, GWAS and genome analysis, particularly in cereals Demonstrated capacity to manage and analyse large data sets. Track record