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addition to our expertise in metagenomic analysis and clinical experience, the lab also boasts state-of-the-art facilities dedicated to the cultivation and analysis of colon bacteria. This infrastructure has become
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of predictive models for energy demand and production. These models will leverage techniques such as time series analysis and machine learning and will be integrated into a digital twin platform. The aim is to
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topics Crystallization of polymers Analysis of the structure of semi-crystalline polymers Mechanical and thermal properties The work involves lab experiments, data acquisition, validating findings
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models or forecasting and econometric analysis Proficiency in one of the major programming languages such as Python A collaborative team player with a desire to make a personal impact within our
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related field. Interest in energy markets, digital technologies, policy analysis, or regulatory frameworks. Strong quantitative and qualitative analytical skills. Proficiency in statistical software such as
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on cancer metastasis and novel metabolic pathways. We exploit mouse models, genetic engineering, metabolomics and single cell & spatial multi-omics analysis to gain groundbreaking insights into metabolism as
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student should lead innovative and creative research in theoretical quantum physics, including mathematical modeling and phenomenological and numerical analysis. The PhD student should display scientific