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optimization, and covalent drug design. Collaborating with researchers and engineers at the Monash Institute of Pharmaceutical Sciences and QDX Technologies to implement scalable AI–quantum hybrid platforms
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with chemists and materials scientists is essential to ensure that the developed methods make optimal use of domain expertise and integrate fully into “human in the loop” workflows. This post is
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and develop an optimal (efficient, cost effective, easy to use) technological operational method for detecting and estimating wallaby populations and dynamics. What you’ll do: Develop a technological
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framework for identifying optimal study designs. At La Trobe, The Research Fellow will be a member of the Infectious Disease Modelling Group in the Department of Mathematical and Physical Sciences (School
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modelling and simulation of transmission and distribution networks, including benchmarking data models, developing optimal power flow algorithms, and creating state estimation and multi-energy optimisation
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routine maintenance and troubleshooting of laboratory instruments to maintain optimal performance. Supervision and Researcher Development: Provide training and technical support to students and research
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include: i) resolution of the dynamics and evolution of the primary and secondary atomization zones with a view to optimize and control spray formation processes. The e-fuel blends will include miscible and
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biology is highly desirable. Practical experience in bioprocess engineering, including operation of bioreactors, optimization of microbial growth conditions, and management of continuous or batch processes
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to maintain optimal functionality. Prepares and maintains comprehensive setup notes and usage instructions for self and others; contributes to research outputs including reports and manuscripts. Maintain high
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methods to accelerate materials discovery and optimization. The position is funded by ARC Centre of Excellence for Carbon Science & Innovation. The successful applicants will be working in the Centre