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Field
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and develop predictive models of tissue architecture and cell community dynamics using tools inspired by ecology and geospatial science. Spatial omics technologies are revolutionising our ability
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of qualitative and quantitative data at multiple scales, and the manipulation and processing of geospatial data are expected. We are seeking highly qualified candidates with the following skills and experience
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Sciences, Geospatial Sciences and Computer Science (Information Technology and Software Engineering). One of RMIT's top-performing research schools, we deliver research that addresses the 'real life
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, and troubleshoot complex numerical models in HPC environments. • Develop and implement new parameterizations for atmospheric emissions and microplastic processes. • Perform statistical and geospatial
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well as an in-depth annotation of their geospatial and temporal distribution. To do so, the candidate will benefit from the technical support and expertise of two highly qualified research engineers in
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qualifications: Experience creating informative web-based data visualization, especially with geospatial data (e.g. maps). Successful candidates will be expected to lead and collaborate on research projects full
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University of Technology as its sole stakeholder, specializing in earth observation, space technology and geospatial analysis. Cyprus University of Technology has a 16-year experience in earth observations and
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assessment, and geospatial modeling methods and tools. Applicants should have strong, demonstrated research ability, and excellent English written and spoken communication skills. Preference will be given
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, inverse problem, machine learning Expertise in the analysis of a wide range of geospatial and geodetic data sets Strong expertise in programming with Python or MATLAB As position requires stakeholder
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Science in Geospatial Data Sciences. Our faculty members are actively engaged in research spanning three key themes: Geospatial Data Sciences (e.g., remote sensing, geographic information science - GIS