14 assistant-and-professor-and-computer-and-science-and-data Fellowship positions at University of Adelaide in Australia
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Job no:517049 Work type:Fixed term - Full-time Campus:Adelaide Categories:Level A, Faculty of Sciences, Engineering and Technology (Level A) $81,293 - $109,307 per annum plus an employer
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working with industry partners to translate this new technology into commercial sensors for vineyard installation. Further opportunities involve integrating the research data into the National Smoke
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you will need: A PhD in Forensic Science, Electrical Engineering, Computer Science, Data Science, Criminology or related area (or near completion). A record of high-quality research outputs, including
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the closing date if a suitable candidate is identified. For further information For a confidential discussion regarding this position, contact: Associate Professor David Gonzalez Discipline of General Practice
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. These include mathematical analysis, numerical simulations, computational and data science approaches, natural language processing, etc. Depending on the specific findings, research outputs are targeted
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contribution of 17% superannuation applies. Full-time, fixed term position for 13 months. We are seeking a Postdoctoral Research Fellow (Level B) to join the School of Computer and Mathematical Sciences
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Otolaryngology, Head & Neck Surgery Clinical Epigenetics group, led by Professor Harshita Pant. This role is embedded within the Cytokine receptor laboratory at the Centre for Cancer Biology and plays a pivotal
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the closing date if a suitable candidate is identified. For further information For a confidential discussion regarding this position, contact: Lewis Mitchell Professor of Data Science; Director, Adelaide Data
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intelligence as a Professorial Research Fellow in AIML. To be successful you will need: A doctorate (or equivalent) and research experience in computer science, machine learning, AI/software engineering or a
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actions working on causal AI for a changing world. The AIML at the University of Adelaide is the largest computer vision and machine learning research group in Australia with over 180 members including