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programming languages and tools is required: Stata, R, Python, and LaTeX. Familiarity with NVivo, SPSS, GeoDa, and Mallet for computational text analysis is a plus. Solid knowledge of economic analysis as
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/ programming; Python highly desirable (or proven expertise in other languages). 3. Solid knowledge of statistical methods and data analysis. 4. Prior research experience with Machine Learning is a valuable asset
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codes is essential. Experience with modelling conjugated organic molecular-based systems (e.g. electronic structure, charge transport) would be particularly highly valued. Experience in coding with Python
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determinations for the different models, including sample preparation and chromatographic determinations by GC-MS and other techniques Preprocess chromatographic fingerprinting data and to develop and validate
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the PhD Students to: - Perform the analytical determinations for the different models, including sample preparation, and analysis of various lipid compounds, mineral elements and stable isotopes
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of gels with different swelling responses. Specific tasks include: - Perform experimental work on microfluidics and soft condensed matter. - Analysize data. - Use theoretical models to rationalize data