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The Australian Plant Phenomics Network (APPN): Based at the School of Agriculture and Food Sustainability Full-time (100%), fixed-term position until 31 December 2027 Base salary will be in the range $83,698.91 - $111,431.10 + 17% Superannuation (Academic Level A) Based at our St Lucia...
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models Identify the weaknesses of existing models for the targeted project applications. Propose and develop state-of-the-art computer vision techniques to overcome existing challenges Train and evaluate
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academic institutions to translate research into viable solutions. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly
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applications for the position of Research Fellow . The Research Fellow (RF) will play a key role in advancing the research mission of NTU by supporting cutting-edge projects in computer vision, machine learning
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Senior Research Fellow (Human Factors / Human-Computer Interaction / Engineering / Computer Science)
personalized and adaptive AI assistance. Conduct usability studies and experimental analyses using quantitative and qualitative methodologies. Collaborate closely with AI, machine learning, and software
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provides world-class university education in computer science promoting discovery and innovation. The College currently offers an engineering degree in computer engineering, and a doctoral program in
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Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills In-depth knowledge
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techniques. You will have the opportunity to participate in various projects utilizing artificial intelligence (AI) and machine learning (ML) to develop applications that optimize combat casualty care
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Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills In-depth knowledge
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for data management. Design and implement machine learning models for optimizing data management. Conduct experiments and evaluations of the designed algorithms and systems. Help with research presentation