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devices. The microneedles are manufactured by a collaborating group (Biomaterial Microsystems) at DTU Nanolab. The PhD candidate will be a part of the Pharmaceutical Technology group (see more information
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large dataset analysis, improving decision-making processes for awarding grants to firms and scientists. The PhD project could aim at the following issues: Improved Funding Decisions: How can we make
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methods to administrative data. The exact topic will be chosen in coordination between the successful candidate and supervisors. The successful candidate will be part of the Strategy Economics group within
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industrial partners, both national and international Perform data analysis, write scientific articles and present your research at conferences and meetings Contribute to teaching and student project
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for the new green steels compositions, including impurities and tramp elements. These models should enable density-functional-theory (DFT) accurate large scale atomistic simulations of defects including
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agriculture to function well within the landscape. In this PhD, existing monitoring network data and locally collected field data will be available for the modelling work, in addition to freely available
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, as One Swinburne. How to apply and further information Please submit your CV and cover letter addressing why you believe you are suitable for this position. For further information about this position
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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a research staff of 180, of which 65 are PhD students. Read more about MBW at the Department of Molecular Biosciences, The Wenner-Gren Institute (MBW) . Data-driven life science (DDLS) uses data
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Statistics for the Australian Grains Industry 3 (SAGI3). Investment. The University of Adelaide, in collaboration with Curtin University and The University of Queensland, is leveraging machine learning, data