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Field
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the supervision of the immediate supervisor the Research Assistant will assist with the design and execution of neuroscience experiments (in vitro or in vivo), perform routine laboratory procedures (e.g., animal
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-performance computing (HPC), Bragg Crystallography facility, and Adelaide Proteomics Centre. Our collaboration with Monash University further extends our access to advanced 300 kV Titan Krios and Helios 5 UX
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supervision from the Laboratory Supervisor or Principal Investigator (P.I.). The position is responsible for performing high level laboratory procedures relating to the laboratory’s ongoing program and
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goals of the U.S. Department of Energy, NREL, and industry partners toward a sustainable energy future. We work with the electricity industry and broader research community to conduct high-impact research
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on topological quantum matters and cavity vacuum controls driving research activities towards defined goals in specified timeline; publish original research articles in high-impact journals Liaising with project
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engineering, and hyperparameter tuning to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record
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Assistant 1. SUMMARY The Research Assistant 1 contributes to research investigators by providing research and experimentation support while following established protocols. The Research Assistant 1 performs a
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Assistant Professor in the School of Chinese Medicine (Ref.:532662), to commence as soon as possible, on a two-year fixed term basis, with the possibility of renewal subject to satisfactory performance and
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- 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 1015--1-4171 Is the Job related
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include high entropy carbides, nitrides, borides, oxides, and mixed components for a variety of applications. • Assist in performing a variety of testing and analytical materials characterization using