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Are you interested in forest remote sensing and want to work closely with current research in the field? About the position We are looking for a research assistant within the area of forest remote sensing. The assistant will work in research projects developing remote sensing techniques to...
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the appointment process, special attention will be given to research skills. Eligible applicants must hold a PhD in aquatic remote sensing with documented experience in mapping submerged vegetation. Requirements
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contribute to the development of innovative, AI-based solutions for mapping forest disturbances using satellite data and deep learning.. About the position Forests across Europe are experiencing unprecedented
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significant natural graphite resources and an EU-designated strategic CRM project. The work will combine field mapping, structural geology and geochronology with petrography, bulk rock and mineral
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aimed at developing data-driven methods to map biological values, identify biodiversity indicators and predict the effects of various management and restoration measures in streams and rivers. The work is
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Lund University, Centre for Mathematical Sciences Position ID: 1812-SLMS [#27131] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Lund, Skane Lan 22100, Sweden [map
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, VR, WASP, Google, Amazon, Facebook, and OpenAI, as well as the Chalmers PhD Supervisor of the Year award). Information about the department The Department of Computer Science and Engineering is a
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Lund University, Centre for Mathematical Sciences Position ID: 1812-POSTALG [#27037] Position Title: Position Type: Postdoctoral Position Location: Lund, Skane Lan 22100, Sweden [map ] Subject Area
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and recover from them becomes crucial for effective disaster management and sustainable development. The project has three objectives: 1) to map the ecosystem resilience to extreme weather events
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new flagship research program aiming to to map the molecular structure and function of single human cells in time and space and create AI-based models to predict human cells. It is funded by the Knut