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Field
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combining multiple data sources Experience working with microdata Experience working with a programming language such as Python or Julia and/or Unix Ability to read language(s) in addition to English and/or
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knowledge of: Molecular and cellular biology Breast cancer biology Bioinformatics Where to apply E-mail richard.iggo@u-bordeaux.fr Requirements Research FieldBiological sciences » BiologyEducation LevelMaster
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to the project and analysis of results (e.g., Ansys fluid, COMSOL Multiphysics). • Use of MATLAB, C++ and Python. • Contact with suppliers and manufacturers of parts of implantable devices. • Search and analysis
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of developing low-risk, high-performance geothermal energy solutions. The PhD will examine high-density polyethylene U-tube systems suspended in minewater voids, focussing on: i) their comparative performance
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statistical and mathematical programming in R and Python in a Linux environment, and develops reports, visual representations, and draft results for principal investigator review. The incumbent collaborates
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preparation of extramural grant applications (NIH R01, R21, U-series, foundation, and career development awards), including generating and assembling preliminary data, preparing publication-quality figures, and
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programs. The Acceleration Consortium (AC), based at the University ofToronto (U of T), is a global community of academia, industry, and government working to accelerate the discovery and development
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of neural activity Strong record of presenting research results through publications and conference abstracts Preferred Qualifications: Programming in MATLAB / Python Experience with electrophysiological
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programming skills in Python and/or Java; experience with SQL and familiarity with C/C++ or other programming languages. Candidates should be able to demonstrate programming proficiency through prior projects
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Brightway, openLCA o SimaPro; Python u otros lenguajes orientados al análisis y automatización de datos (por ejemplo, R, MATLAB). Experiencia en manejo y procesamiento de grandes volúmenes de datos