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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 9 days ago
structures and as there are strong occlusions. The 3D reconstruction of flowers has received relatively little study. An early model reconstructs static flowers using botanical priors [1] by building a shape
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analyses, isotope-based approaches (CSIA), and molecular biology tools to investigate: • contaminant fluxes and bioavailable fractions in urban aquatic systems, • transformation processes and interactions
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/Qualifications Hold a PhD in Biology, Biochemistry, or a related field; Have a strong background in molecular and cellular biology techniques; Ideally possess experience with mouse models, mammalian cell culture
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research unit UMR2000 Evolutionary Genomics, Modeling and Health . It offers strong expertise in virology, molecular biology, population genetics and genomics, and access to high-performance computing
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well as radiation • You know the techniques of chemical analyses as well as molecular chemistry and modeling • You are capable of conducting experiments and measuring by optical spectroscopy • You know the data
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personalized immunotherapies for cancer patients with brain metastasis. Our group works at the interface between immunology and cancer biology combining the use of preclinical models of cancer and human samples
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on simulating nanoalloy structures to create a database for materials characterization. The main tasks include running molecular dynamics and Monte Carlo simulations to model nanoalloys under various
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dynamics during regeneration, aging, and cancer, and how these processes can be modulated. Our research is primarily conducted in vivo. We combine genetic mouse models (lineage tracing, conditional
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Project overview Biological catalysis achieves remarkable chemical transformations using only a small set of coenzymes. Among them, flavins (FMN and FAD) stand out as uniquely versatile molecular platforms
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. - Conduct high-throughput serum proteomic analyses and integrate molecular datasets. - Validate candidate biomarkers in independent cohorts. WP3.2 – Integrated predictive modeling: - Develop integrative multi