4 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Fritz Haber Institute of the Max Planck Society, Berlin in Germany
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(4DSTEM). This approach will combine three-dimensional charge distribution data, generated through atomistic simulations, with machine-learning-driven modelling to guide and refine the phase reconstruction
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in close cooperation with theory. An interest in modern methods of data analysis is therefore highly welcome. The required qualifications include a PhD in Chemistry, Physics or Materials Science, as
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characterization and advanced approaches to data analysis, atomistic details of thermal catalysis and electrochemical reactions at gas/solid and liquid/solid interfaces are revealed. In particular, structure
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such qualified individuals. For more information please contact: Dr. Alex Paarmann, e-mail: alexander.paarmann@fhi.mpg.de , Fritz Haber Institute of the Max Planck Society, Department of Physical Chemistry, 14195