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models for bridging knowledge gaps, data scarcity and uncertainty gaps, and governance gaps related to monitoring the environment on which humans depend. A part of this is **spatial statistics of sensor
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models for bridging knowledge gaps, data scarcity and uncertainty gaps, and governance gaps related to monitoring the environment on which humans depend. A part of this is **spatial statistics of sensor
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Vacancies Doctoral Candidate Spatial statistics for integrating IoT field sensor data and remote sensing data for nature-inclusive solutions in tree crop diseases Key takeaways The University
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methods that will help unlock the full potential of spatial omics data Base Salary, Level A $113,634 - $125,896 p.a + 17% superannuation About the opportunity The School of Mathematics and Statistics is
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, or mathematically founded data science as well as excellent oral and written English language skills. Experience with spatial statistics is an advantage. The applicant must hold an MSc degree in mathematical
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documented strong qualifications in mathematics, statistics, or mathematically founded data science, as well as excellent oral and written English language skills. Experience with spatial statistics is an
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Mathematics and Mathematical Statistics is opening a PhD position in spatial statistics
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We are looking for a Postdoctoral Research Assistant to join the multidisciplinary CRC-STARS Spatial Biology team at the University of Oxford. This role offers the chance to contribute to a major
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the supervision of the Principal Investigator, including but not limited to the following: Develop new computational tools through the application of AI / deep learning / machine learning / statistics on spatial
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; aboveground biomass; fuel-density indicators; and other ecological and hydrologic indicators. Apply appropriate GIS, image-processing, statistical, and machine-learning methods to develop spatially explicit