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. recombinant expression and purification of proteins, crosslinking/mass spectrometry, fluorescence microscopy, CRISPR-mediated gene editing, protein structure prediction, structural modelling, transmission
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advanced contextual spatial and temporal modelling approaches. You will work on combining multi-source data such as field observations, laboratory measurements, environmental data, and drone- and satellite
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together with both Danish and international colleagues. Your main tasks will consist of: Solid state synthesis of advanced materials. Crystallization of and out of molten salts and ionic liquids. Structure
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Are you motivated to turn advanced research into real-world solutions for climate-smart sustainable soil management? Join us at Aarhus University's Department of Agroecology as a postdoctoral
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carrier dynamics in luminescent materials. The model will incorporate a user-defined lattice structure with discrete electron- and hole-trapping sites based on defect distributions. Each site will be
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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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proteomics. The goal is to generate structural and functional models of protein complexes as a guide to understand disease-causing mutations. The project is supported by the Independent Research Fund Denmark
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, geophysics, mathematical modelling, or related fields. The ideal candidate should have: Experience with numerical climate models (such as EC-Earth or similar GCMs). Advanced programming skills in Python
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mechanism. Recent developments in protein structure prediction and protein de novo design have opened new possibilities for probing such mechanisms. The project will seek to use existing algorithms to new
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(EM) forward modeling, inversion, and applied EM studies. Within this team, the candidate will be responsible for the numerical development of inversion codes for both frequency-domain (FEM) and