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to estimate annual carbon and water budgets. You hold a PhD in plant physiology, urban ecology, or a related field, and possess strong quantitative and scientific writing skills. You demonstrate excellent
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automate the scientific process leading to fundamental breakthroughs? Your work will encompass a diverse array of concepts at the intersection of artificial intelligence, condensed matter physics, and
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 2 months ago
. The Land Change Science research unit studies patterns and processes of land systems and their dynamics over various spatial and temporal scales. Within the FOEN funded «Habitat Map of Switzerland» project
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of electronic excited states for controlling photochemical processes [3]. This project will build on these developments to capture the switching mechanism of newly-developed proton-driven molecular motors and to
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-biofilm compounds that can be used to treat biofilm-related infections caused by a range of bacterial pathogens. Based on structural data demonstrating how an existing anti-biofilm compound binds to and
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fixation) and belowground carbon storage. A historical perspective, i.e. looking at past changes in soil fertility and carbon storage, can elucidate these processes on timescales that exceed experimental
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. Postdoc position on self-healing strategies for lithium-ion batteries Your tasks Develop lithiation agents to recover lost active lithium during operation of the battery Develop electrochemical protocols
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independent research interests. Your profile Required: PhD in Marketing/Business/Analytics (or a related field); strong statistical background; proficiency in Python; fluent English. Preferred: experience with
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captured using antigen-specific monoclonal antibodies, and detected and quantified via flow cytometry. The postdoctoral researcher will work closely with an ongoing PhD project at the University of Basel and
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conferences. Enjoy protected research time to pursue independent research interests. Required: PhD in Marketing/Business/Analytics (or a related field); strong statistical background; proficiency in Python