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, clinical, structural bioinformatics, other biomedical data. It should be outlined in the CV Demonstrated skills and knowledge in omics data analysis, biostatistics, machine learning, pathway and network
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challenges during integration in the AIT construction hall and later at the telescope site. You work closely with local scientists to guarantee that the developed software meets or exceeds ESO’s scientific and
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as possible. Job description The project aims at determining in situ structures of axo-axonic synapses at the axon initial segment (AIS) of neurons through cryo-electron tomography (cryo-ET), and
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with regard to numerical simulation of the impact of detonation and deflagration events on infrastructure and modelling of structural behaviour under highly dynamic loads Provision of scientific and
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. Excellent written communication and report writing skills. Desirable Knowledge, Skills and Experience: Demonstrated expertise in protein structural modelling. Demonstrated expertise in enzyme structure-guided
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. Successful delivery of these research objectives will require expertise in in silico protein analysis and structural modelling, mass spectrometry–based proteomic analyses (e.g., LC-MS, LC–MS/MS), nitrogen
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-resolved fluorescence methods for studying protein-protein interactions and protein structure-function relationships in live cells. This project will focus on elucidating the structure-function mechanisms
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novel solutions use parts of these models for planning or control, but they do not take full advantage of the structured, layered information such graphs so far. Therefore, our project aims to tightly
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) 13 TV-L FU reference code: ONEMuc-FluBind2 The collaborative project ONEMUC – Respiratory Mucus as a One Health Interface investigates how the composition and structure of mucosal barriers (mucus
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) 13 TV-L FU reference code: ONEMuc_FluBind The collaborative project ONEMUC – Respiratory Mucus as a One Health Interface investigates how the composition and structure of mucosal barriers (mucus