307 computer-science-intern "https:" "https:" "https:" "https:" "UCL" positions at Curtin University in Australia
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expertise in mathematics, biometry, bioinformatics and data science, together with agribusiness, actuarial science, geographical information systems, farming systems and plant pathology. We have strong
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and industry trends and recommend innovative solutions to improve systems and processes. We are looking for (selection criteria): A degree in Software Engineering, Computer Science, or a related field
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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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. 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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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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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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this role, you will: Program Development: Assist in the development of safe and inclusive sport and recreation programs designed to provide a positive experience for Curtin students, staff and broader
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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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information, please visit our Diversity and Inclusion page - https://staff.curtin.edu.au/discover-curtin/diversity-equity-and-inclusion-at-curtin/ What We Offer You: This continuing G07 level role attracts a
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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