160 assistant-professor-computer-science-and-data-"St"-"St" positions at Swinburne University of Technology
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The Giles Family Foundation Study Abroad Program has been established by Swinburne alum Michael H. Giles, who is passionate about supporting students eager to broaden their horizons through
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communication and demonstrated computer skills including the use of word processing, spreadsheets and database applications • Demonstrated ability to engage and build trust with diverse cohorts and DET
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level communication, written and verbal, with demonstrated high level of interpersonal skills with clients, their families, and all health care professionals. • Good computer literacy with common
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of interpersonal skills with clients, their families, and all health care professionals. • Good computer literacy with common Microsoft platforms and patient management systems. • A demonstrated
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Systems (LMS) and assistive learning technologies to support inclusive and flexible learning experiences Further information about this role can be found in the attached position description. Qualifications
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, student mentoring and student experience. Possess sound computer skills to email, access databases, MS Officer and or other relation Learning Management Systems. Current practical experience (currency
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Information: Please refer to the following links for more information about the Research Training Program and relevant Swinburne policy Contact Graduate Research Office HDRscholarships@swin.edu.au
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of Data Science • Bachelor of Cyber Security • Bachelor of Artificial Intelligence • Bachelor of Business Information Systems • Bachelor of Computer Science and Technology • Bachelor of Design Computing
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, you'll also help ensure program quality, compliance, and ongoing improvement. We’re looking for educators with current industry experience and knowledge of tools like Wireshark, Kali Linux, SIEM platforms
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mechanisms and transformer models. Qualifications Bachelor’s degree with First Class Honours (or equivalent) and/or a research master’s degree in computer science, AI or Computer Vision; or an equivalent