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the academic promotions process. About You A PhD (awarded or near completion) in a relevant discipline (e.g. psychology, business). Demonstrated experience in qualitative and/or quantitative research methods
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. The University is strongly committed to supporting diversity and flexibility in the workplace. We particularly welcome applications from women for this role. To be successful you will need: PhD in plant biology or
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: Completion or near completion of a PhD in bioinformatics, statistics, data science, microbiology, nutrition science or immunology. An emerging profile in research in microbiome, immunological disease
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completion of a PhD in fields relating to bioengineering, chemical engineering, environmental engineering, or a closely related discipline. Previous experience in a similar research role would be considered
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, high-impact environment that values innovation, collaboration, and real-world outcomes. About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing
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platform for conducting impactful economic research. To be successful you will need: PhD in applied economics, forensic accounting, ecological economics, criminology or a related discipline. Demonstrated
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academic meetings, offering guidance to postgraduate students, and managing minor administrative and teaching-related tasks. It also involves designing experiments, operating advanced research equipment, and
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or Coq is essential to this position. Programming experience in Rust is preferred. Background in concurrency verification and proofs is preferred. About the College The ANU by 2025 Strategic Plan calls
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
or Coq is essential to this position. Programming experience in Rust is preferred. Background in concurrency verification and proofs is preferred. About the College The ANU by 2025 Strategic Plan calls
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-renewable-energy-engineering Skills & Experience: A PhD in Computer Science or a related field. Thorough theoretical background in machine learning and deep learning. Demonstrated experience in developing