252 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Tampere-University" positions at University of Sydney in Australia
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. The Research Assistant contributes to the development of research protocols and driving the execution of research activities. They streamline grant application processes, provide vital research-related advice
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Services Officer to join the University Infrastructure (UI) team under the Property and Development division. The UI team are responsible for the project management of transformational projects to a quality
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service improvement and future development facilitate connections between faculties and Library expert teams through a client-focused referral process support and deliver tailored programs and services
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centred programs, multi-disciplinarity, staff professional development, and engagement with industry and the community. Click here for more information on our School. The University of Sydney supports
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-on support and advice to academic staff on start-of-semester activities, including Canvas rollovers and refreshes, Akari, assessments and rubrics Offer technical expertise in the development and enhancement
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. It manages the functionality and development of the teaching space and ensures that the relevant Work, Health and Safety standards of the work area are met and are aligned to the University’s WHS
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proficiency in Python and R for scientific computing and pipeline development demonstrated experience in quantitative, statistical or data-driven modelling of biological systems experience developing
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development of guidelines, procedures and training to ensure Library-created or curated digital content is properly managed, described and formatted for long-term access. Apply relevant policies when solving
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of senior academic staff. Provide informal mentoring and discipline-specific advice to students, supporting their academic development. Undertake administrative responsibilities and actively contribute
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, with a strong understanding of how production software systems are built Hands‑on experience with cloud technologies (ideally Azure), ML Ops practices, and GitHub‑based development workflows Experience