15 python "Basque Center for Macromolecular Design and Engineering POLYMAT Fundazioa" positions at CSIRO
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that drive real-world impact. Desirable Demonstrated experience in energy system modelling Proficiency in the General Algebraic Modelling System (GAMS), Julia JuMP, Python PuLP, or similar LP framework
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experience in using statistical and mathematical tools to analyse and interpret soil data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python
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, testing, documentation, and code quality aspects. Desirable Experience developing firmware and/or software in a control systems context. Experience in python programming. Familiarity with working on GNU
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for real-time sensor data collection, transformation, and distribution onboard. You’ll work closely with a small development team using Python, PostgresDB, TimeScaleDB, and Docker, and support the ship’s ICT
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record of publication in quality, peer reviewed journals. A history of professional and respectful behaviours and attitudes in a collaborative environment. Desirable criteria Experience with python and
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languages such as Python or Bash, for automation, orchestration and source code management. Experience in providing services to research domains, including engaging with researchers to determine requirements
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. Applied experience in the analysis of genomic data (bioinformatics), including reference based and reference-free pipelines, and relevant coding languages (e.g. bash, R, Python), and a sound understanding
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visualisation libraries and scientific compute languages (e.g., MATLAB). Proficiency in secure web application development using React and TypeScript. Full-stack experience including API design, Python
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visualisation libraries and scientific compute languages (e.g., MATLAB). Proficiency in secure web application development using React and TypeScript. Full-stack experience including API design, Python
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packages relevant to biostatistics and bioinformatics (e.g. R, Python, Fortran, Matlab, SAS, Stata or equivalent) and experience in the use of high-performance computer resources and parallel computation