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the intersection of ecology, machine learning, and sustainable land management, the research will combine field data collection, deep learning model development, and stakeholder co-design to support biodiversity
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LEO, MEO, and GEO constellations), and complementary on-board sensors. Research will investigate algorithms for robust multi-sensor fusion and positioning assurance. A strong emphasis will be placed
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A fully funded 3.5 years PhD position in developing software and computational tools for sustainable supramolecular materials design is available in the group of Assistant Professor Andrew Tarzia
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research assistant) or extended work/study/travel in a different cultural context Experience and understanding of qualitative data analysis Experience conducting statistical analyses in R Funding Notes Each
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, https://github.com/ludwigc/qtmetabolabpy , https://github.com/ludwigc/metabolabpytools ). Therefore, this research project requires the student to up-skill their Python knowledge, and to be confident in
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As part of an interdisciplinary team you will develop a new method to track flying insects which will revolutionise movement ecology and help reverse pollinator decline. We will use our method
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publication(s) Experience conducting fieldwork (e.g., through a field school; as a research assistant) Experience conducting statistical analyses in R Role conditions. Potential PhD students should be prepared
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Please note, this is a PhD Scholarship co-funded by Foundations, the National What Works Centre for Children and Families and the biggest funder of evaluation research in early interventions
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under multiple environmental and socio-economic scenarios. You’ll develop sought-after skills in geospatial analysis, hydrodynamics, sediment transport, machine learning-assisted detection, and hydro
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reproductive success, combined with whole-genome sequences, from 1922 individuals. We also have samples from all four populations established from Cousin by translocation. Research Methodology & Training You can