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team working on the analysis of multi-modal Earth Observation data for 3D mapping. The position is part of a collaborative, funded project exploring how 3D mapping layers such as building and canopy
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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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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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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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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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mapping the biological mechanisms behind why some patients respond to immunotherapy while others do not, we hope to improve future treatment strategies. We conduct advanced molecular analyses of tumor
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significant progress in recent decades, many patients do not respond to current treatments or experience relapse. By mapping the biological mechanisms behind why some patients respond to immunotherapy while
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simulation, stakeholder mapping, and scenario analysis. The project is led by Professor Frank Dignum (main supervisor) and Dr. Jason Tucker. Requirements The general admission requirements for doctoral studies
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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