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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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(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
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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
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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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Two year postdoc position at Aarhus University for single molecule FRET based investigations of l...
in the target proteins. The postdoc will collect single molecule FRET data and by integration with existing atomic models establish trajectories for key conformational changes in the investigated
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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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and analysis. Data analysis and interpretation, including theoretical modelling. Establishing structure-property relationships and pushing the frontiers of the field. Collaborating nationally and
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disordered proteins - and use these for mechanistic studies in cellular models. There will be considerable room for the successful candidate to shape the project within the overall project theme. Further