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, and data acquisition systems. Experience analyzing complex experimental and Monte-Carlo simulated data to optimize the analysis of raw detector data in preparation for imaging Strong programming
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significant contributions to the experimental work, taking on responsibilities for data analysis. This includes developing relevant data analysis techniques and software, as well as conducting Monte Carlo
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analysis. This includes developing relevant data analysis techniques and software, as well as conducting Monte Carlo simulations of detector responses using the GEANT4 framework. The candidate will be
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experience using DFT methods for studying reaction mechanisms with metal organic complexes. Previous experience in grand canonical Monte Carlo (GCMC) simulations. Programming skills and previous experience in
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Colourbox More about the position The fellowship period is 3 years and devoted to carrying out a project entitled “Sequential and adaptive methods for living network meta-analyses”. The research fellow must
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to carrying out a project entitled “Sequential and adaptive methods for living network meta-analyses”. The research fellow must take part in the faculty’s approved PhD program and is expected to complete