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openness to feedback You are proficient in written and spoken English Skills in bioinformatics (R or Python) will be an added value to analyze omics datasets but is NOT a prerequisite The ideal candidate
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• Knowledge in community functioning • Knowledge in experimental design • Knowledge in statistical analyses (R, multivariate analyses, mixed models) • Knowledge in bioinformatics, analyses of microbiota data
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Eligibility criteria - General biology and physiology, microbiology, molecular biology, bioinformatics. - Expertise in plant-micro-organism interactions - Expertise in experimental design, particularly
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, the laboratory is a center of research excellence with scientific priorities such as: bioinformatics, system security, new software architectures, virtual reality, analysis of large amounts of data and artificial
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bioinformatics and biostatistics, using pipelines and computational clusters, to analyse metagenomic data: assembly, gene annotation, etc. - Ability to work in a multidisciplinary research group - Autonomous
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wildlife management and finalized scientific questions; - Proficiency in bioinformatics required to process raw high-throughput sequencing data (possibly ddRadSeq) - Knowledge of landscape genetics and
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biology and bioinformatics. - Experience in setting up cultures in phytotron or greenhouse conditions. - Ability to integrate, work, and evolve in a multidisciplinary environment at the interface
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of completion prior to the start of this position will also be considered A strong record of publication in journals related to plant systematics and comparative genomics Experience with bioinformatics
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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