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professional software development background. With demonstrated expertise in multiple programming languages (such as Python, C, C++, R, Fortran, Julia), you'll bring knowledge of agile methodologies, version
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, and tooling support across multiple clustered infrastructures, we facilitate Lab-wide R&D projects. Our HPC clusters range in scope from just a handful of nodes to over fifty-thousand cores. We partner
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complex research projects involving multiple interdependent components. Experience in programming (python) and applying AI-assisted technologies to streamline research and analysis workflows is highly
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foundation in data analysis and visualisation, demonstrated through experience with tools such as SQL, Python, or Power BI. Your background includes a university degree in a relevant field or equivalent
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coordinating the integration and testing of commercial cellular equipment. The candidate must have proficiency in multiple programming languages such as bash scripting, C++ and Python and comfort to operate
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effects, compound hazards, and systemic interdependencies, adapting to evolving EU design codes. More specific goals are to: re-view existing hazard methods and codes for single and multiple hazards (e.g
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, SAS, R, Python); Demonstrated experience conducting complex compensation modeling, benchmarking, and regulatory compliance reviews; Proven ability to interpret and apply federal and state compensation
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security for a community of more than 35 stakeholder organisation and 7000 active researchers. We are seeking a software developer with expert skills in Python-Django, or with similar web programming
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, such as records of multiple or intermediate causes of death and linked patient or diagnosis data, to study patterns in cause co-occurrence across death and disease. These shared data sources connect
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the areas of economic theories (macro and microeconomic theories) and methods (mathematics, statistics and econometrics using R, Python and other open-source statistical computer software). About the