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on developing deep learning methods for the reconstruction and physical analysis of ATLAS experiment data. The selected candidate will develop innovative analysis methods for the reconstruction and physical
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encoded FRET biosensors for mitochondrial functionality. - Implement innovative data analysis protocols and approaches for FRET/FLIM or radiometric FRET microscopy in cultured cell lines - Modify and/or
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level of dominant structures. In tracing how actors sustain opposition, confront internal tensions, and negotiate inheritance and innovation, the project understands radicality as a shifting relational
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of the ligand. In this way, we propose to identify ligands of different sizes and negative charges that can be used to synthesize and characterize metallic molecular structures, taking into account the
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), thermogravimetric analysis (TGA), microscopy, NMR , ICP analysis, etc.), and catalytic evaluation of MOFs, particularly for the cycloaddition of CO₂ to epoxides. Experience in writing scientific publications is also
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the supervision of Dr Ruiz-Castell, the Postdoctoral Fellow will contribute to data processing and analysis on ongoing and developing environmental health/exposome projects and will co-develop a competitive grant
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
, socially situated interactions, with two central requirements: (i) robustness to real-world perturbations, with quantitative estimation of the reliability of extracted cues, and (ii) continuous adaptation
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numerical simulations and analytical calculations, (iii) data analysis by programming, e.g. python and matlab, (iv) help and guide of Ph.D students in the team, (v) writing research reports, publishing
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motifs; - establish, optimize, and apply quantitative protein-interaction assays; - perform mammalian cell culture, molecular cloning, mutational analysis, recombinant protein work, and fluorescence
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analyze multi-omic data provided by our collaborative partners and interpret the results from a biologically relevant perspective. Planned activities include Python code development, the analysis and