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-atomic potentials using a combination of classical and machine-learning (ML) approaches (and a new hybrid method recently developed in our group). Some of the types of simulations that will be performed
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team and ensure all key research outcomes and milestones are achieved in alignment with project timelines. Qualifications, skills and experience required A PhD qualification or equivalent in Geology
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. Desirable: Proficiency in scientific programming (e.g. Python) and familiarity with data science and machine learning techniques. Experience with geochemical analytical techniques and working in a laboratory
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dissemination through publications, conferences, and supervision of students. About you PhD or equivalent industry experience in geotechnical engineering or a closely related field. Relevant research experience
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methods for monopiles and validating models through centrifuge testing. Contribute to research dissemination through publications, conferences, and supervision of students. About you PhD or equivalent
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events. The Person The successful candidate will hold a PhD in design or a related field, with an active research and publication agenda. The successful candidate will have experience in one or more of: co
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under farming systems including herbicide resistance and changes in emergence patterns. This role is ideal for a candidate with a PhD in Weed Science, Plant Genetics, or a related discipline, who is
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 11 days ago
members and external stakeholders from industry and government. The Person We are looking for a PhD qualified researcher with experience in Plant Synthetic Biology. We are looking for someone who likes
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, experiential learning opportunities utilising our world class infrastructure and natural laboratories, and a commitment to diversity and respect for difference. Our postgraduate courses offer professionals
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Completion or near completion of a PhD in Engineering (mechanical, aerospace, civil, petroleum) or Science (applied physics, applied mathematics) with a strong background in CFD and the finite element method