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, or foundations of machine learning/automatic differentiation are particularly encouraged. The position also comes with funding for research related travel and activities. The successful candidate will be expected
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relevant qualifications and experience Knowledge of Natural Language Processing and Machine Learning, strong programming skills. Preferably knowledge in one or more of ontology, structure grammar, and
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. Expertise in applied statistics, biostatistics, or quantitative epidemiology. Thorough understanding of R and Python software is essential. Knowledge of Machine Learning is desirable. Strong understanding
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, allowing you to engage collaboratively with internal and external stakeholders. You will also have: A PhD in AI, Machine Learning, Natural Language Processing, or closely related discipline; Excellent
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Communications, e.g., beamforming, transceiver design Semantic/goal-oriented communications Machine learning-based ISAC New waveforms and multiple access schemes, e.g., NOMA, OTFS, etc. THz communications and/or
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, gym and other fitness facilities. Learn more at: adelaide.edu.au/jobs Your faculty’s broader role The Faculty of Sciences, Engineering and Technology is a multidisciplinary hub of cutting-edge teaching
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professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities. Learn more at: adelaide.edu.au/jobs Your faculty’s broader role The Faculty of Sciences
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Intelligent Data Analytics Lab, the Fellow will collaborate with researchers from multiple disciplines, e.g., data science, intelligent transport, traffic simulation modelling, machine learning, and
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Required Skills: Experience in collecting, processing and analysing eye-tracking data Advanced computer skills: word processing, excel and relevant software Languages: excellent in English (esp. in writing
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need to have experience in the below key accountabilities: Extensive knowledge in software engineering, software testing, machine learning, and cybersecurity Proven ability to conduct high quality