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to neurodegenerative diseases. Demonstrated expertise in molecular biology techniques including DNA cloning, DNA construct assembly, gene editing technology such as CRISPR/Cas9, PCR, gel electrophoresis, in vitro mRNA
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modeller to help lead a collaborative research programme between the University of Queensland and King Abdulla University of Science and Technology (KAUST) with Prof David Suggett. Our shared goal is to
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proficiency in both qualitative and quantitative research methods. Experience in data management and statistical analysis software such as Excel, STATA or R, along with qualitative analysis tools such as NVivo
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ecology, with substantial fieldwork experience. Experience using software to map coral species distributions is highly desirable. At least Divemaster diving certification or equivalent. Evidence of
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working with industry partners to translate this new technology into commercial sensors for vineyard installation. Further opportunities involve integrating the research data into the National Smoke
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Therapy, Computer Science, Engineering, Mathematics, Science, Physics, etc). Emerging track record publishing in high quality journals (e.g., Medical Physics, IEEE, etc.). Experience presenting at high
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field (e.g., Medical Physics, Radiation Therapy, Computer Science, Engineering, Mathematics, Science, Physics, etc). Emerging track record publishing in high quality journals (e.g., Medical Physics, IEEE
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skills across diverse teams and stakeholders. Experience with data collection methods (e.g., surveys, interviews, reviews, focus groups). Proficiency in data management and analysis using software such as
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stability assessments and control development. You will: contribute to delivering the CfNETR project(s) in smart power system engineering; develop literature reviews and maintain data and knowledge
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-quality research publications in econometrics or related fields. You will possess the ability to solve complex statistical problems, show advanced computer literacy with proficiency in relevant software