111 development-"https:"-"https:"-"https:"-"https:"-"Computer-Vision-Center" positions at Flinders University
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for applicants to also have: Honours/Masters degree in either Engineering, Computer Science or IT related fields. Experience in Deep Learning, Computer Vision, and Python programming Interest in
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range of professional development activities and services We embrace diversity and promote equity and inclusion for all students and staff Vibrant campus life and amenities including on campus health
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collaborations across engineering and computer science. With a particular focus on growth areas including defence, sustainable energy, artificial intelligence and cybersecurity , you will help position the
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Community of Practice and relevant SALHN committees and groups progress SALHN values, vision and strategic direction. Contribute to relevant education and workforce development activities at SAHLN and
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STATA are preferred but professional development can be provided where necessary. The successful candidates will work under the supervision of Professors Maria Inacio ( https://research.sahmri.org.au
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). The PhD project would suit a student with a background in computational modelling or engineering. The student will develop computational models that simulate neural pathways for motion vision in
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academic merit and research potential, in alignment with College values of equity, excellence and social vision. Applications will be ranked (based on the NHMRC criteria for postgraduate scholarships
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; International candidates must also meet Flinders University Academic and English language requirements. https://www.flinders.edu.au/international/apply/apply-research-degree/eligibility Application
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the areas of urban development, planning, urban design and environmental management to study overseas for up to six months in Japan or Australia. Benefits Provides South Australian and Japanese
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student, researcher, tutor, research assistant or affiliate or have held such a position within the last ten years. Application Information Further information can be found on https://neaf.sydney.edu.au