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desire candidates with skills in advanced programming, spatial data science, GIS, and GeoAI. Your research will contribute to the development of sustainable, smart, and resilient urban transportation
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across the University of Southampton in social sciences, public health and business. To be successful in the role you will have, or will be close to completing, a PhD (or equivalent professional
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across the University of Southampton in social sciences, public health and business. To be successful in the role you will have, or will be close to completing, a PhD (or equivalent professional
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opportunity to engage with colleagues across the University of Southampton in social sciences, public health and business. To be successful in the role you will have, or will be close to completing, a PhD (or
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contribute to research outputs, stakeholder engagement, and project coordination in close collaboration with the project PI and international partners. Minimum Qualifications A PhD in Forestry, Environmental
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partners. Minimum Qualifications A PhD in Forestry, Environmental Science, Ecology, or related fields. Strong expertise in forest carbon accounting, including carbon stock quantification. Proven experience
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Qualifications A PhD in Forestry, Environmental Science, Ecology, or related fields. Strong expertise in forest carbon accounting, including carbon stock quantification. Proven experience in biodiversity
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-specific recommendations that can shape the future of sustainable forestry in Canada. Qualifications The ideal candidate will have: A PhD in forest operations, silviculture, forest management or a related
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learning and neuro-optimized techniques. The candidate must hold a PhD in Urban Development, Computer Sciences or Engineering or related domain but with specialization in Machine Learning and GIS
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: A PhD in forest operations, silviculture, forest management or a related field. Strong experience in forest operations, management or silviculture research. A background in quantitative analysis