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for an outstanding PhD scholar in soil science and restoration ecology. This PhD project will involve research approaches for soil preparation that optimise soil moisture and nutrient/organic accumulation and
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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for an outstanding PhD scholar in soil science and restoration ecology. This PhD project will look at cost-effective methods for monitoring soil carbon sequestration in biodiverse plantings, concurrent with soil
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Status: Closed Applications open: 17/07/2024 Applications close: 31/01/2025 View printable version [.pdf] About this scholarship Description/Applicant information This PhD project is funded through