28 education PhD scholarships at Institute of Molecular Biology, Johannes Gutenberg University Mainz and its University Medical Center • International PhD Programme "Gene Regulation, Epigenetics & Genome Stability" • in Australia
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Management (CCDM) is offering a research scholarship to a highly motivated PhD candidate to develop multi-omic pipelines to analyse disease dynamics in crop plants. CCDM is co-supported by Curtin University
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Scholarship will fund a 3-year PhD candidature to work in the Cancer, Ageing & Vaccine Laboratory (SHBS). Project is a collaboration with WEHI and Hudson Institute to improve cancer diagnosis, prevention and treatment. Scholarship will fund a 3-year PhD candidature to work in the Cancer, Ageing...
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sharing market framework with an all-in-one edge-to-cloud solution Project Description: This project aims to develop a DSO market framework with PAYG financing and peer-to-peer (P2P) energy sharing
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(MARC). Monash University is a member of Australia’s Group of Eight coalition, and is internationally recognized for excellence in research and teaching as one of the world's top 80 universities. Embedded
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research and teaching as one of the world's top 80 universities. Embedded in an ecosystem of health, academia and industry, it delivers the research outcomes, skilled workforce, technology and partnerships
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induced Pluripotent Stem Cells (iPSCs). iPSCs are stem cells that have the advantage of being able to develop into over 200 human cell types. For example, iPSCs can be made to develop into neural tissues
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sharing market framework with an all-in-one edge-to-cloud solution Project Description: This project aims to develop a DSO market framework with PAYG financing and peer-to-peer (P2P) energy sharing
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evolve the power system stability and strength assessment framework to suit weak electricity grids with substantial renewable sources. It expects to develop a digitalized approach where comprehensive
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the complex and challenging issues currently limiting the growth of renewable energy. The goal is to develop innovative methodology and technology that will facilitate the widespread integration of renewable
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physical attributes will support and improve the mapping of seagrasses. · Develop machine learning models and object-based image processing algorithms to differentiate and identify seagrass habitat