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Lonza’s expertise and technology within peptide T cell immunogenicity, and the vast expertise within immunoinformatics and machine learning models at DTU to address this challenge. This will enable
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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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2-yr postdoc on Forecasting Biosphere-Scale Effects of Ecological Novelty Using Species Distribut...
patterns, species diversity, and biosphere-climate interactions, with a focus on carbon storage, albedo, and evapotranspiration. This will be addressed using process-based vegetation models and species
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an interdisciplinary project in neurobiology and work together with proteomics experts. You will be working primarily with mice models and primary neuron cultures. You will be involved in the Center for Proteins in
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policy interventions and advisory services. Assist in the design of decision-support tools based on emissions inventories, scenario modelling, and mitigation pathways. Bridge natural and social science
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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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developed python-based EM forward operator. Contributing to the development of a freeware software package that offers both forward and inverse modeling capabilities for FEM and TEM data. Collection of FEM
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(AUH), where the newly developed therapeutic oligonucleotides will be tested in preclinical models. Applicants must hold a PhD in chemistry and have documented experience in organic synthesis and nucleic
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, Iceland, Greenland, Canada, and the United States of America, including several Indigenous communities. The project relies on a range of ethnographic methods, including art-based approaches to elicit
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; Collaborating closely with the ENGREENIT’s PhD candidate (starting 12 months later than the PostDoc researcher), supervised by the Assoc. Prof. Emil Draževic, and will jointly develop the heterogeneous