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Field
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to the availability of resources, in the context of the REACT MSCA Doctoral Network as Research Associate / PhD student (m/f/x) (You will receive a salary according to MSCA regulation, including a
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of microbiology, geomicrobiology and genomics in the School of Earth and Planetary Sciences (EPS), and across schools in Curtin University. The applicant will work in parallel with the Director of Curtin’s Western
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closely with the research team to advance cattle finishing systems in northern WA. One aspect of the PhD project will focus on finishing cattle in northern Western Australia in the Ord River Region using
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Associate Scientist or Lead Researcher - (Protein Engineering and Design, Genome Editing, Biotechnol
evolution. Develop scalable methods to characterize large numbers of CRISPR genome editing variants for activity and specificity with massively parallel high-throughput sequencing approaches. Design and test
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of resources, in the context of the REACT MSCA Doctoral Network as Research Associate / PhD student (m/f/x) (You will receive a salary according to MSCA regulation, including a living allowance, a mobility
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opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in Computer Engineering or a related field completed within
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requirements. In parallel there’s been an expansion of AI-driven structural biology (e.g. Alphafold, prediction of disease mutations, prediction of molecular interactions). These projects require specialist
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requirements. In parallel there’s been an expansion of AI-driven structural biology (e.g. Alphafold, prediction of disease mutations, prediction of molecular interactions). These projects require specialist
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, Anschutz Medical Campus. The Department has grown substantially in the past 15 years, from 40 to 120 faculty in parallel with the remarkable growth of our hospital-based affiliates as well as the city and
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learning for policy optimisation, all within a huge GPU-based simulation with thousands of robots learning synchronously in parallel. The best solutions will then be 3D-printed, and policies will be fine