253 molecular-modeling-or-molecular-dynamic-simulation positions at Monash University in Australia
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Fellow. This role offers the chance to be at the forefront of innovation in chemical biology, with a focus on developing cutting-edge tools for molecular sensing and imaging. Under the guidance of Dr
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The world is dynamic, in constant flux. However, machine learning typically learns static models from historical data. As the world changes, these models decline in performance, sometimes
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. Methods To make this pre-trained model, the student will script a virtual mouse model 13 to traverse through common behavioural apparatuses within a realistic simulation tool called Unreal Engine 14
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collaborative team advancing concussion care through innovation Research Fellow role driving consumer-led models in brain injury care The Opportunity Join a dynamic research team at the Monash-Epworth
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discover them The Opportunity Are you passionate about transforming education and inspiring the next generation of healthcare professionals? Monash University’s Department of Biochemistry and Molecular
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acute pathology. The development of such a molecular imaging probe for direct and sensitive detection of fibrosis during the early stages of pathology would represent a true breakthrough in the field
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at the devices, and even if encryption is used to protect ML models, those models can be extracted during dynamic analysis. To secure on-device ML models, in this project, we aim to employ privacy-enhancing
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classification, web scraping, environmental DNA, satellite imagery) and agent-based models and ecological simulations. Our recent work, funded by the Monash Data Futures Institute, has piloted the development
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develop individual-based models (also called agent-based models) to simulate insect-plant interactions. These are computer simulations where each individual animal is simulated in detail within a virtual
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projects involving multi-electrode array recordings in behaving animals, using techniques including electrophysiology, psychophysics, computational modelling and advanced quantitative analysis. This position