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new international Master of Science (Technology) degree programme, particularly in the fields of remote sensing and geospatial computing, while also advancing research on digital waters. The position is
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focus on collecting, processing, and harmonising appropriate geospatial data, providing geospatial data insights, and applying appropriate AI models for geospatial analysis based on the integrated data
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for spatial planning, and cumulative effects assessment (CEA) of offshore wind (OW). The role will focus on collecting, processing, and harmonising appropriate geospatial data, providing geospatial data
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to Elders past and present. · Drive innovation in digital forestry and geospatial analytics · Work with industry to translate research into operational outcomes · Relocation support may be available
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modeling. Proficiency in Python and experience with AI/ML frameworks such as PyTorch or TensorFlow. Experience handling large geospatial, atmospheric, or remote sensing datasets is preferred. Strong
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remotely sensed information with field observations and environmental datasets; quantify spatial and temporal changes in willow cover, density and landscape configuration using advanced geospatial techniques
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to sedimentological and biogeochemical investigations contribute to modelling sedimentary copper systems and Earth surface processes analyse and interpret large-scale geospatial and geochemical datasets publish high
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We are seeking a highly motivated and independent Postdoctoral Fellow to join an interdisciplinary project team, leading the geospatial analysis work of the project and working closely with
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Department of Land Surveying and Geospatial Science Postdoctoral Fellow (three posts) (Ref. 260706014) [Appointment period: each for twelve to thirty-six months] Duties The appointees will assist
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experience developing deep learning models using frameworks using PyTorch and possess strong Python programming skills. Experience working with Remote Sensing datasets and geospatial technologies such as GDAL