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, environmental data science, or a closely related STEM discipline Demonstrated expertise in urban spatial data analytics, with proficiency in GIS software (e.g. QGIS, ArcGIS) and geospatial methods Experience in
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expertise in trace gas measurements, VOC chemistry, and aircraft-based observational science. The ideal candidate will hold a strong background in either atmospheric science, environmental science, chemistry
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strong emphasis on measuring sustainability using LCA (e.g. industrial ecology, environmental sciences, agricultural sciences, sustainable energy), a PhD is a plus; 6+ years of research experience
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contributing to better-informed benefit sharing. Your qualities We are looking for a PhD candidate who: holds a Master degree in Natural Resource Management, Biology, Environmental Sciences or similar has
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immobilisation, or even the chemical-physical environments thought to underpin the origin of life. This project offers a unique opportunity to work at the interface of experimental physics, data science, and
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of environmental economics and innovation. The successful candidate will play an integral role in supporting data-driven, policy-relevant research examining the intersection of environmental challenges and
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scenarios as typically encountered by UK mountain rescue teams and apply innovative biomechanical analysis using Bournemouth University ’s in-vivo 3D motion tracking technology to determine residual motion of
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24th August 2025 Languages English English English The Department of Civil and Environmental Engineering has a vacancy for a PhD Candidate in Pavement Technology Apply for this job See advertisement
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teach mechanical engineering, engineering and ICT, and civil and environmental engineering. The Department conducts internationally leading research and participates in several large national research
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for this job See advertisement About the position Faculty of Environmental Sciences and Natural Resource Management (MINA) at Norwegian University of Life Sciences (NMBU) has a vacant 3-year PhD–position in