111 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "Inserm" "Inserm" uni jobs at CSIRO
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, submissions, and brand awareness. Plan and manage multi-channel campaigns (e.g., email, newsletters, social media, advertising). Use data insights and agreed KPIs to evaluate campaign effectiveness and refine
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. The role offers the opportunity to collaborate widely across CSIRO programs, engage directly with government and industry stakeholders, and translate research into deployable, real-world technologies
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-scale storage, cloud services, data centres, computing and high-performance research environments. Working closely with IMT leaders and program heads, you’ll ensure infrastructure aligns with
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across a range of forums. Supervising PhD students within the Data61 Scholarship Program and supporting new project proposals and student opportunities. Collaborating across multidisciplinary teams within
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Corporate Plan, resulting in financial return and impact from CSIRO’s IP, research and development and commercialisation. Leading IP services and business improvement and change management projects
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children and young people involved in our activities and programs. View our Child Safe Policy . How to apply Please apply online and submit a cover letter (maximum 2 pages) and CV that demonstrate your
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Manage high-value ICT contracts across major programs Work with senior leaders in a specialist team Deliver strategic, compliant procurement outcomes We are seeking an experienced IMT Contract
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expectations. Reporting to the Finance Manager, Treasury, Credit Cards and Travel, the position manages diverse stakeholder needs and helps maintain a streamlined, compliant and traveller-focused program that
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took on the challenge. Visit CSIRO.au for more information. The opportunity Join CSIRO’s Crops Program to lead cutting-edge research addressing crop pests and diseases through advanced genetics and
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pursuing novel ideas and solutions to scientific research problems. Demonstrated experience in scientific programming, data visualisation and working with large datasets that cover large spatial and temporal