20 computer-science-programming-languages PhD scholarships at RMIT University in Australia
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of offer for the program if all conditions have been satisfied. Locations Primary location of student: Royal Melbourne Institute of Technology, 124 La Trobe Street, Melbourne VIC 3000 Industry
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large language models (LLMs). Candidates should have an interest or experience in culturally inclusive AI safety, multilingual NLP, AI ethics, or computational social sciences, and must hold a relevant
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, applied maths, physics, chemistry, computer science, computational modelling, earth science or similar. Strong programming skills. Experience in making gas flux measurements Excellent project management
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In addition to the Industry PhD Program Scholarship of $34,000 pa (GST exempt, indexed annually at 3%), there is an industry top-up component valued at $12,000 pa (not indexed). As such
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In the PhD program, you will be involved in working with a multi-disciplinary team. You will be conducting experiments and developing phenomenological models to understand the graphite formation
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principles. The candidates must also be able to quickly grasp emerging trends in the relevant discipline. The candidate should be willing to work using different programming languages/frameworks such as Python
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textiles. The Program includes: Admission to a university PhD program. Supervision by the participating university, CSIRO, and an industry partner. A four year scholarship package totalling approximately
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(or equivalent) in a relevant discipline (e.g., information science, sociology, digital humanities, computer science, information systems, media studies). Have strong social research (quantitative/qualitative
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, evidence of English proficiency may be required. Scholarship applications will only be successful if prospective candidates are provided with an offer for admission to a PhD Program at RMIT. Applicants
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mathematics or computer science Must have programming skills in programming languages such as Matlab and Python Preferably have a proven track record of good publications in mathematics or computer science