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of cities. Develop the first national land use–transport interaction (LUTI) model for Australia. Evaluate policy scenarios involving HSR to realign population growth with sustainability goals. The selected
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. The PhD project is part of MADE REACT (Resilient manufacturing systems through AI-powered and digitally Connected Technologies), which is a national collaboration involving 23 leading companies, five Danish
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
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With its work, the Leibniz Institute of Vegetable and Ornamental Crops (IGZ) contributes to a better understanding of plant systems and thus to the development of sustainable and resilient
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to create secure, autonomous and developable solutions that interact with each other and their surroundings, from the edge to the cloud. Project description For this work, you will be working as part of a
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(Level A) $78,544 to $105,611 per annum plus an employer contribution of 17% superannuation applies. Fixed-term, part-time position (0.6 FTE) available for 2 years. Grant Funded Early Career
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synthetic fuel reactors. Tasks include gas handling, system diagnostics, thermal integration, and performance evaluation under variable power inputs. Data Analysis and Machine Learning: Collect and process
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. The research will include a combination of experimental and computational aspects and methods. The experimental work will focus on the analysis of a unique, state of the art dataset. The computational studies
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Department:Biochemistry and Molecular Biology Salary Salary:Commensurate Position Details Full/Part Time Status:Full Time Percent Time:100% Position Description: TITLE: POSTDOCTORAL RESEARCHER (Wallrath and Drack
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. Practical experience with Linux/Unix, High Performance Computing, and scientific programming is recommended. Basic expertise with scientific data analysis. Good skills in scientific writing. We expect