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candidate, with a strong background in the development of machine learning methods for bioinformatics. The project focuses on the development of new neural network architectures to perform inference
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the southern area of Grand Paris. We offer an international, highly collaborative research environment with access to state-of-the-art core facilities, including advanced imaging, genomics, and bioinformatics
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existing meta-genomes, using up-to-date bioinformatics tools. The postdoctoral associate will explore the genes and pathways associated to carbon and iron metabolism of heterotrophic prokaryotes using
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bioimaging and bioinformatics team at IBENS, under the supervision of Auguste Genovesio. The postdoctoral researcher will have access to a workstation as well as computing servers equipped with GPUs. Where
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metagenomics), environmental geochemistry and mineralogy, bioinformatics for DNA sequence analysis. The candidate should have a taste for team and interdisciplinary work and be familiar with the latest
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, bioinformatics, or other relevant field - Strong computer skills and expertise in demographic modeling - Fluency in spoken and written English - Ability to work effectively in a multidisciplinary team environment
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cytometry • Bioinformatics (R ) • Analytical reasoning ability, organization skills, team spirit • 0 to 7 years experience after PhD Additional comments Contact: anne.hosmalin@inserm.fr Duration: 12 months
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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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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