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. The energetics of these defects will be calculated, including formation energy and the electronic structure of the defects, with analysis in the context of electron beam effects. An extension to this work will be
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, Matlab and/or R. Strong background in statistical analysis, applicable to experimental validation. Previous participation in scientific and/or technological research projects, preferably related to optics
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Master's degree in Biological Sciences, Molecular Genetics, or a related field, with a minimum final grade of 15; b) Preference will be given to candidates with relevant experience in the use
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Intelligence (AI) algorithms, including Machine Learning (ML) and Deep Learning (DL) techniques, for advanced signal analysis. The work will focus on developing methodologies for the detection, extraction
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work plan, from among the projects listed below, will also be taken into consideration. Workplans and objectives to be achieved: Fellowship 1 – Optomechanical frequency combs towards quantum metrology