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multiple fields, including mathematics, physics, artificial intelligence (AI), bioinformatics, and biological sciences. Researchers work closely with experimental biologists to ensure that computational
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 7 days ago
Computer Science, Machine Learning, Bioinformatics, Computational Biology, or related fields. Strong experience in deep learning, ideally with PyTorch. Proven experience with graph neural networks, geometric deep
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of an in silico pull-down in collaboration with the bioinformatics partner o Biochemical and genetic validation of identified candidates - Dynamic exploration of the mode of operation of Pseudomonas
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• Development of a comprehensive chemical standards database • Bioinformatic/chemometric metabolite ID through online resources • De novo identification and structural assignment of metabolites and natural
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skills: Proficiency in cell culture techniques and standard molecular and cell biology methods. • Computational skills: Experience in image processing (FIJI) and/or bioinformatics tools and/or programming
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bioinformatic analyses (amplicon processing, microbial diversity). Experience in statistical analyses using R and in the construction of ecological networks is desirable. Excellent organizational, autonomous, and
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the main bioinformatics software and methods (R, Python, Bash). Knowledge on large-scale genotyping/sequencing data analyses. Good level in statistics. Good level of written and oral English. Ease in a
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The ideal candidate will have strong skills in experimental design, data analysis, and bioinformatics, along with excellent written and oral communication in English. Experience working with C. elegans
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-synaptic elements Targeted genetic manipulations of the neurons studied Analytical activities Extraction and analysis of transcriptomic data (RNA-seq) from single cells Bioinformatic analyses related
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, ELISA, and quantitative PCR—is essential, as is the capacity to work with mouse models depending on the evolution of the thesis project. Additional expertise in bioinformatics would be considered a strong