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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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isotopes in food matrices (maximum 30) Experience in the application of chemometric techniques to develop predictive models (maximum 10) Selection process The specific committee will agree upon an award
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a motivated and experienced candidate to work on computational modelling of low dimensional electroactive materials for energy applications. The project will focus on systems based on arrays of stable
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(at least 3 months). Experience in development and optimization of lipid nanoparticles. Experience in cell cultures and nanoparticle assays. Experience in in vitro models of ocular tolerance. Experience in in
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the EU Research Framework Programme? Other EU programme Reference Number PID2023-147939NB-I00 Is the Job related to staff position within a Research Infrastructure? No Offer Description Molecular modelling