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Simulation group to apply classical Molecular Dynamics and Machine Learning approaches for development of a new class of hybrid polyphenol-lipid nanoparticles with tuneable internal structure and exploration
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Melbourne CBD campus About the Role We are seeking a Postdoctoral Research Fellow to join RMIT's Materials Modelling and Simulation group to apply classical Molecular Dynamics and Machine Learning approaches
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Mandatory: Extensive environmental project management experience PhD or equivalent in ecotoxicology, environmental chemistry or environmental science Unrestricted working rights in Australia required as Visa
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experience PhD or equivalent in ecotoxicology, environmental chemistry or environmental science Unrestricted working rights in Australia required as Visa sponsorship is not available for this role Valid
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, rotating machines, and energy storage/load management systems. 3. Control Systems Focus: You will design and implement advanced control strategies for wind turbine operation, contributing expertise in
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successful for this position, you'll have: Demonstrated experience in the application of LLM. Demonstrated experience in programming in Python. Ability to learn new technology and new tools rapidly. Good
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radiation therapy treatments. At least one position will be offered to a researcher that has experience in deep learning and AI development and a willingness to apply these approaches in radiation therapy
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, Matlab etc) A good understanding of appropriate statistical analysis techniques Qualifications Mandatory: PhD or equivalent in relevant field. Please Note: Appointment to this position is subject to
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and selection criteria. Applicants must: Hold a PhD/Doctorate qualification; Complete the application form by the 2025 deadline; Additional eligibility criteria may apply. Please refer to the specific