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, and subsequent scientific analysis and interpretation, also involving machine-learning approaches. To develop and benchmark the analysis, we will on the one hand aim to employ available frameworks and
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Biology Laboratory (EMBL), Institut Laue-Langevin (ILL), France, the International Institute of Molecular Mechanisms and Machines, (IMOL), Poland, and the Leicester Institute of Structural and Chemical
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of Molecular Mechanisms and Machines, (IMOL), Poland, and the Leicester Institute of Structural and Chemical Biology, United Kingdom. Your work will include biomedical and biophysical research. It will also
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of Molecular Mechanisms and Machines, (IMOL), Poland, and the Leicester Institute of Structural and Chemical Biology, United Kingdom. Your work will include biomedical and biophysical research. It will also
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conditions. Where appropriate, isotope labelling will be exploited to enhance the visibility of different LNP components. The project aims to use machine learning trends to deliver reliable prediction methods