108 engineering-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"CNRS-LMA" PhD positions in Australia
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engineering, nanotechnology, cell biology, microbiology and plasma science. The project is multidisciplinary with a primary focus on biomaterials science and a secondary focus on microbiology. The
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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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specialised as-needed via fine-tuning or prompt engineering. In this project we will explore all aspects of this process with a focus on increasing trust in the model outputs by reducing or eliminating
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specialised as-needed via fine-tuning or prompt engineering. In this project we will explore all aspects of this process with a focus on increasing trust in the model outputs by reducing or eliminating
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Australian National University | Canberra, Australian Capital Territory | Australia | about 14 hours ago
Natural Resource Management; Agriculture; Engineering; Water Resource Management; Foresight Duration Payments made for a fixed number of years Payment made for 4 years Eligibility Scholarship type
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publications, citations or scientific careers to test the implications of a model. References Fortunato, S. et al. “Science of science.” Science 359 (2018): eaao0185. https://doi.org/10.1126
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publications, citations or scientific careers to test the implications of a model. References Fortunato, S. et al. “Science of science.” Science 359 (2018): eaao0185. https://doi.org/10.1126
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: Business, Research, Arts, Education, Engineering, Health, Law, Science, Teaching Innovation Support, Architecture, IT, Built Environment Apply for a Deakin University Postdoctoral Research Fellowship today
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from an unbiased strategy space.” Journal of the Royal Society Interface 16 (2019): 20190127. https://doi.org/10.1098/rsif.2019.0127 Perera, I., de Nijs, F. and García, J. “Learning to cooperate against
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from an unbiased strategy space.” Journal of the Royal Society Interface 16 (2019): 20190127. https://doi.org/10.1098/rsif.2019.0127 Perera, I., de Nijs, F. and García, J. “Learning to cooperate against