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quantify intraspecific and interspecific interactions, taking into account environmental, spatial and temporal variation. TASKS: The work is based on data analysis and modelling approaches. An initial phase
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; - strong data analysis and interpretation skills; - the ability to work effectively in a multidisciplinary team environment; - good scientific communication skills; - strong scientific writing skills in
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the experimental and bioinformatics analysis components—is essential. Proficiency in classical genomics techniques (RNA-seq, ChIP-seq, etc.) Proficiency in mouse ES cell culture and in vitro differentiation
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microenvironment). - Perform xenografts of murine melanoma cells in isogenic immunocompetent mice. - Evaluate tumor growth and collect tumor samples for histological and molecular analysis. - Analyze high-throughput
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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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), 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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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
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engineering and protein biochemistry is essential. Experience in -omics methods, as well as in protein production and characterisation (FPLC, WB, etc.), is required. Skills in the analysis of omics data and the
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in bioanalytical chemistry, mass spectrometry-based protein analysis. Operational know-how : - In-depth knowledge in intact protein analysis using mass spectrometry - Knowledge in nanoLC-MS/MS