18 coding-"https:"-"FEMTO-ST"-"Prof"-"AMOLF" "https:" "https:" "https:" "https:" "https:" "CERIC ERIC" positions at CSIRO in Australia
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to their academic profile online (link below): https://www.csiro.au/en/work-with-us/funding-programs/funding/Next-Generation-Graduates-Programs/Awarded-programs?start=0&count=12 Do NOT apply through the Apply Now
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contractual arrangements between the NASA and Commonwealth Scientific Industrial Research Organisation (CSIRO). For more information on CDSCC, please visit: http://www.cdscc.nasa.gov The opportunity
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directly supporting industry to adopt agile manufacturing technologies and approaches. Find out more here: https://www.csiro.au/en/about/people/business-units/Manufacturing As an Experimental Research
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assessments. Knowledge of system and application security threats and vulnerabilities (e.g., buffer overflow, mobile code, cross-site scripting, Procedural Language/Structured Query Language (PL/SQL) and
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to their academic profile online (link below): https://www.csiro.au/en/work-with-us/funding-programs/funding/Next-Generation-Graduates-Programs/Awarded-programs?start=0&count=12 Do NOT apply through the Apply Now
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Crop Trait Improvement Teams. Adhere to the spirit and practice of CSIRO’s Values, Code of Conduct, Health, Safety and Environment procedures and policy and diversity initiatives. Role particulars
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. An understanding of the Australian Energy Market. An understanding of data centre and server operations. Experience with collaborative software practices such as version control and code review. Background in
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alignment with project requirements, codes, and standards. Developing comprehensive fire safety strategies, performance designs, and inventive solutions. Carrying out modelling and calculations for fire and
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in resistance management. Recording, managing and analysing data using established data science methodologies (FAIR, coding workflows, version control). Preparing publications, reports and conference
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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