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and advanced live imaging techniques, and/or computational analysis of spatial omics data — experience in two or more of these areas is highly advantageous Knowledge of cancer biology is a large
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, interdisciplinary team working at the interface of computational biology, genomics, and molecular physiology. Our groups, together with close collaborators aims to understand how biophysical microenvironments such as
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technology in collaboration with neuroengineers. Network architecture in motor circuits. Histological clearing techniques for large sample imaging for network reconstruction In vivo, awake electrophysiology
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modelling and interpretation, but other aspects of neutron science are also relevant, for example QENS, reflectometry, and imaging. The candidate has a strong background in soft matter and experimental
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modelling and interpretation, but other aspects of neutron science are also relevant, for example QENS, reflectometry, and imaging. The candidate has a strong background in soft matter and experimental