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environmental health, public health, or a related area, with experience in the research context. Strong analytical skills to develop a new program for gathering evidence of the emergence of new alternative
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this program. Health insurance can be obtained through ORISE. Questions: Please visit our Program Website . After reading, if you have additional questions about the application process, please email
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Computer Science; the Department of Mechanical, Structural and Materials Engineering; the Department of Mathematics and Physics; the Department of Chemistry, Bioscience and Environmental Engineering; the
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 25 days ago
machine-learning methods to investigate the deep-time controls on copper mineralisation. The role will involve developing reproducible computational workflows, generating predictive maps of copper
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developed upon appointment. As a PhD fellow, you will be admitted to the Faculty of Humanities’ PhD programme . The programme includes a training component of 30 ECTS, corresponding to six months
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and spectral index time series extracted you will work with solar physicist Mykola Gordovskyy (also at CAR) on initial physical modelling to better understand these extreme flares and to compare them
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The Program on Constitutional Government, directed by Professor Harvey Mansfield, in the Center for American Political Studies and the FAS Department of Government at Harvard University will offer one
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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assistant). About the research training As a PhD Research Fellow, you must participate in an approved educational programme for a PhD degree within a period of 3 years. The deadline for applying for admission
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topological defects and alignment patterns The project offers close interaction with experimental biology, theoretical physics, and computational modeling in a strongly interdisciplinary research environment