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chemistry, chemical biology, biochemical and thermal reactions. Research at CBS is organized around several major areas, which aim to answer challenging industrial questions, from complex chemical and
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chemistry, chemical biology, biochemical and thermal reactions. Research at CBS is organized around several major areas, which aim to answer challenging industrial questions, from complex chemical and
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chemical engineering component, and chemo-biology as well as heat treatments and their applications in industries. CBS-GPE projects aim to achieve an in-depth understanding of the molecular mechanisms
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for comprehensive systems biology modeling. Identification of causal relationships and biomarker discovery through integrative approaches. Time-series and longitudinal multi-omics data analysis for disease
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. Pierret (2010) From biological to lithological control of the B geochemical cycle in a forest watershed (Strengbach, Vosges) Geochimica et Cosmochimica Acta 74 3143– 3163 Cornut, I., Le Maire, G., Laclau, J
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, Fisher-Tropsh, etc. CO2 capture methods CO2 utilization & conversion to high-value chemicals (e.g., electro/photo chemical CO2 reduction, catalytic chemical conversion, biological, etc.) CO2 mineralization
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teaching challenges of UM6P, on green and environmental chemistry applied to all aspects of chemical sciences: organic and inorganic chemistry, analytical chemistry, chemical biology, biochemical and thermal
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). Knowledge and familiarity of analytical techniques necessary for structural using GC/LC-MS analysis. Experience in molecular biology techniques: PCR, RT-PCR and Biochemistry methods such as colorimetric and
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conducts research in the fields of bioinformatics, computational biology and computational chemistry and serves the agricultural, environmental and health sectors. The lab also provides bioinformatics
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
Biology, Data Science, Artificial Intelligence, or a related field with applications in healthcare and metabolomics. Strong experience in machine learning, deep learning, and AI frameworks (TensorFlow