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Council (ARC) to Professors Michael Keane and Alan Woodland. The grant supports research aimed at building more sophisticated labour supply models into macroeconomic models that are used for optimal tax
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reactions at the air-water interface to unlock high-voltage reaction pathways. Your key responsibilities will be to: Lead a Flagship Project: Drive the design, execution, and optimization of plasma
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science, especially with transformer models Jax, PyTorch, and/or Julia; with probabilistic programming languages; or with high-dimensional optimization and inference in physics contexts. Essential criteria
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or observing programmes Machine learning in physical science, especially with transformer models Jax, PyTorch, and/or Julia; with probabilistic programming languages; or with high-dimensional optimization and
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program to evaluate, optimize and disseminate strategies to prevent harm from alcohol and drug use, including co-occurring Full-Time, 12-month Fixed-Term (with opportunity for extension) with base salary of
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Project 2026, where the research associate will focus on engineering encapsulin protein cages in cyanobacteria, with optimal carbon fixing designs to be implemented in plants through collaboration with
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organisms. This project is funded by an ARC Discovery Project 2026, where the research associate will focus on engineering encapsulin protein cages in cyanobacteria, with optimal carbon fixing designs to be