338 computer-science-intern "https:" "https:" "https:" "https:" "The University of Manchester" positions at Curtin University
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executive support for committees, working groups and strategic initiatives Acting as a trusted liaison for internal and external stakeholders Maintaining organised, efficient office practices including
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per week). In this pivotal role, you will play a key part in teaching, assessing, and coordinating Haematology units across all three years of the B-LAMBED program, while also contributing to other
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. Coordinate and organise workshops, training programs and seminars for students and staff and industry fieldwork partners. Provide accurate and timely advice/guidance to internal and industry fieldwork partners
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the health services industry. Excellent communication and interpersonal skills, with a friendly and empathetic demeanour. Proficiency in computer systems and software, with the ability to manage appointments
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solutions to improve systems and processes. Selection Criteria: Essential: A degree in Software Engineering, Computer Science, or a related field. Proven experience developing complex, enterprise-level cloud
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at the website below, please ensure that you select the Modified Monash Model 2019: https://www.health.gov.au/resources/apps-and-tools/health-workforce-locator/health-workforce-locator. Registrations for the UCAT
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data amendments are appropriate, the Statutory Reporting Officer will communicate these to the appropriate internal and external stakeholders prior to reporting. You will also monitor compliance and
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they have at least one academic year remaining of their program. Application process For detailed ‘How to Apply’ information – please visit: https://www.ramsaycentre.org/scholarships-courses/postgraduate
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Dietetics Programme and deliver teaching along with impactful, practice informed research. This full-time, continuing position offers the opportunity to shape the future of dietetics education through
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in data engineering or a related field Proven skills working with large datasets, databases and ETL pipelines. Expertise in modern data engineering tools and platforms (e.g., AWS, DevOps, Power BI