174 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "FAU Erlangen Nürnberg •" PhD positions in Australia
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PhD Scholarship in Big Data and Analytics for Crop Genetics Modern agriculture and biomedical research are driven by the availability of big data and the development of data science. The recent
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Community Housing Providers (CHPs) Local neighbourhood groups and community organisations These partners may support pilot projects, provide data, participate in co-design processes, and help translate
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for admission to a QUT Doctor of Philosophy . The first step is to email Dr Daniella Teixeira detailing your academic and research background, your motivation to research in this field and interest in
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on what works, for whom, and in what contexts in rural/remote settings. Supervision The successful candidate will be supervised by Dr. Lana Elliott and Assoc Prof Christina Malatzky. This supervisory team
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PhD scholarship is funded as an important part of an ARC Discovery project Climate Vocabularies: New methodologies for music and science communication, conducted by Dr Louise Devenish, Professor
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time you apply for admission to QUT's Doctor of Philosophy . The first step is to email Dr Amy McQuire detailing your academic and research background, your motivation to research in this field and
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Scholarship-Application-Information-and-Form Download 2024 Scholarship awarded We are thrilled to announce that the CCA IBD PhD Scholarship of $96,000 over three years has been awarded to Dr Richard Fernandes
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optoelectronics, green energy, and fundamental quantum optics. As a member of my group you will have the opportunity to work with my DECRA sub-group leader Dr. Haoran Ren, and also with my research team at Imperial
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polymer chemistry or tissue engineering. Strong skill set for data analysis and interpretation, coupled with excellent written and verbal communication abilities. Ability to work effectively in a
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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply