Innovating Works
LikelyStructures: Accounting for correlated errors with maximum likelihood in crystallography and cryo EM THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE tramitó un H2020: H2020-MSCA-IF-2017 Proper understanding of the biological processes related to complex macromolecular entities depends on the detailed description of their 3D...
2018-03-19 - 2020-05-31 | Financiado
HiFreq: Smart high frequency environmental sensor networks for quantifying nonlinear hydrological process dy... THE UNIVERSITY OF BIRMINGHAM tramitó un H2020: H2020-MSCA-RISE-2016 Regulators and industries are challenged by the difficulty to analyse and predict the impact of nonlinear environmental processes on short-t...
2016-11-30 - 2022-02-28 | Financiado
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