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or near completion of a PhD in the discipline area. An emerging profile in research in the discipline area. Excellent programming skills in one or more languages (Python, MATLAB, C++) Experience in
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opportunities via the academic promotions process. About You Completion or near completion of a PhD in the discipline area. PhD in a relevant field e.g. statistical genetics, quantitative genetics, bioinformatics
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grant applications to secure internal and external funding. Supervision and Researcher Development Assist in supervising PhD, Master students and undergraduate students. Demonstrate a track record of the
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trends or company needs. We offer supervision to PhD students and are proud that our alumni are now in senior roles in resource companies and government organisations around the world. SMI comprises nine
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or near completion of a PhD in biochemistry specializing in structural biology with associated experience and expert knowledge in the area of drug or herbicide design. Expertise in X-ray crystallography and
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promotions process. About You Appointment at Level C Completion of a PhD in horticultural science and predictive and genomic informed plant breeding. An established profile in research in the discipline area
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opportunities via the academic promotions process. About You Possess (or be in the process of obtaining) a PhD or equivalent in plant genetics or plant reproductive biology. Demonstrated experience in plant
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career progression opportunities via the academic promotions process. About You PhD in the discipline area of microbiology or biochemistry. A focus on molecular microbiology or microbial genomics is
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opportunities via the academic promotions process. About You Completion or near completion of a PhD in the discipline area, such as chemical engineering, chemistry, food science or dairy science. Evidence of
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genuine career progression opportunities via the academic promotions process. About You Completion or near completion of a PhD with demonstrated experience in machine learning A good-track record with data