21 postdoc-machine-learning Fellowship positions at University of Adelaide in Australia
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and MALDI/ESI, and lignin composition using TDA/GCMS. The postdoc will work closely with teams developing engineered plants to develop a deeper understanding of cell wall architecture. This is expected
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contribution of 17% superannuation applies. Fixed term position for 24 Months. Postdoc opportunity - Open for Applications Until Filled. We are seeking a dynamic and motivated Postdoctoral Fellow in Ecological
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applies. 2 Fixed-term position available for up to 24 months. Flexible work arrangements can be negotiated with the right candidate. Be part of the Australian Institute for Machine Learning -- the largest
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Educational Technology in the School of Computer and Mathematical Sciences. The successful candidate will be a researcher in the use of technology to support cognitive and meta-cognitive skills of students
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collaboration between industry, government, and academia. The Australian Institute for Machine Learning (AIML) at the University of Adelaide is the largest computer vision and machine learning research group in
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proteins, combined with methods such as microscale thermophoresis will also be used to characterise enzyme activity. The postdoc will also co-supervise PhD students and Honours students. Outputs will include
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the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical Sciences at the University of Adelaide. The project is a collaboration with Defence Science and Technology Group, within the Combat
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research and innovative teaching. You can learn more about Adelaide University HERE and more information will be provided throughout the recruitment process. Your faculty's broader role The Faculty
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we are dedicated to creating an accessible and future-focused educational powerhouse that fosters economic and social wellbeing through ground-breaking research and innovative teaching. You can learn
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. The successful candidate will be based at the University’s School of Agriculture, Food and Wine, providing a supportive environment that fosters cross-disciplinary learning, professional development, and