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, vegetation mapping, and LiDAR-based ecology. We're looking for candidates with strong technical skills and ecological interest—people who want to use LiDAR, AI, and spatial modeling to advance our
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of Dr Jing Ren at the MRC Laboratory of Molecular Biology (Cambridge, U.K.) to map the serotonin circuit development by tissue clearing and expansion microscopy. The serotonin (5-HT) system is essential
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
modifications in cellular signaling. Define key alterations in proteins and glycans and map how membrane dynamics and glycan–protein interactions reshape cellular networks. Link structure to function by
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apply a fast and efficient forest trait mapping and monitoring method based on the Invertible Forest Reflectance Model. A machine learning / deep learning framework will be explored and developed
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your experience and provide factual evidence for it (e.g., specific publications, open-source code repositories). A scientific CV. It should include contact details and link to your Google Scholar
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publications). A scientific CV with contact details and link to your Google Scholar profile. List of publications (and patents, if applicable) Contact details of 2 references Please apply ONLINE formally through
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will work on projects where research meets real-world challenges. This includes developing soil moisture maps to reduce damage from forest machinery, testing innovative methods to control pests in
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environmental variables to develop LUE, WUE and canopy conductance function for diagnostic mapping of forest ecosystem functioning metrics. We will apply time-series analysis to investigate seasonal and
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candidate will work closely with experts in food allergy, neuroimmunology, gut physiology, and computational biology to characterize immune cell responses, construct spatial maps of inflammation along the gut