122 parallel-processing-bioinformatics-"Washington-University-in-St" Postdoctoral positions at CNRS
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skills. - Familiarity with GWAS, population genetics, or bioinformatics pipelines are a plus. - Experience with the processing of genomic biological data (whole exome or genome sequencing) is a plus
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processing and synthesizing different types of social and ecological data at various spatial scales, as well as large spatial datasets in R or GIS ■ Experience working with R ■ Experience in socio
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macroscopic and nanoscale investigations on perovskite thin films and optoelectronic devices, in particular solar cells, in order to understand their metastability and the associated processes occurring
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and conferences, and contribute to the preparation of manuscripts. Our research focuses on uncovering the proximate mechanisms underlying evolutionary changes in developmental and behavioural processes
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project focusing on the neural markers of stuttering, the recruited individual will be responsible for the preprocessing, processing, and analysis of data obtained from functional neuroimaging (fMRI
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conditions such as cancer, yet the underlying mechanisms remain poorly understood. Understanding how disruptions in these processes contribute to cancer development and cell fate decisions is a central
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an expanded coherent and exascale-ready software stack featuring breakthrough research advances that meets the needs of complex parallel applications and the requirements of heterogeneous exascale architectures
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: The postdoctoral researcher may be required to supervise the work of interns or PhD students - Sampling and measurements in the field, - Acquisition and processing of microbial ecology data (genomics and
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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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• Development of a comprehensive chemical standards database • Bioinformatic/chemometric metabolite ID through online resources • De novo identification and structural assignment of metabolites and natural