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on climate impact research and process-based modelling of biogeochemistry, agronomy, biology and geography from Aarhus University and University of Copenhagen, as well as international partners. Field
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October or as soon as possible thereafter. Jobdescription This postdoc position offers a unique opportunity to bridge environmental modelling, behavioral insight, and policy innovation to understand and
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-scale research facilities, such as synchrotrons, for EXAFS and high-pressure XPS measurements. We also work in close partnership with the CatTheory group, using DFT-calculations and microkinetic modelling
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Do you have experience with modelling structures subjected to dynamic loading? Are you interested in data-driven methods for modelling applied loading? Are you eager to share your knowledge within
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the gating mechanism of TZ in cellular models such as RPE1 or cultured dopaminergic neurons by immunofluorescence microscopy. You will also build and test TZ-derived molecular prosthetics with the aim
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these issues. The center brings together experts on climate impact research and process-based modelling of biogeochemistry, agronomy, biology and geography from Aarhus University and University of Copenhagen, as
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on electrochemistry, atomic scale and multi-physics modelling, autonomous materials discovery, materials processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from
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2-yr postdoc on Forecasting Biosphere-Scale Effects of Ecological Novelty Using Species Distribut...
vegetation models. This postdoc project is part of Center for Ecological Dynamics in a Novel Biosphere (ECONOVO), funded by the Danish National Research Foundation. Overall ECONOVO aims to provide new
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Are you interested in protein O-GlcNAcylation in neuroscience and can you contribute to the development of modelling intellectual disability in Drosophila melanogaster ? Then the Daan van Aalten
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to integrate various structural biology data (NMR, SAXS, FRET, EPR) as well as computational models and simulations to create and interpret conformational ensembles of disordered protein regions, with the goal