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collaborate with colleagues to perform project tasks and work together with other PhD students in developing spatial modelling approaches Where to apply Website https://www.academictransfer.com/en/jobs/360192
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structured around a dual theoretical and experimental component: the PhD student will be required to model the physical phenomena involved in the measurement, as well as to design and develop new experimental
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experimental data. Develop computational frameworks for integrating spatial and bulk multi-omics datasets. Create and apply statistical and machine learning models for feature extraction, data harmonisation, and
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in policy and decision-making. In this PhD, you will contribute to a new generation of spatially explicit models and assessments that capture these feedbacks across spatial and temporal scales
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should hold a DVM, MD, or PhD degree, and should have interest in the regulation of bone homeostasis and in spatial biology. Experience with surgical animal models is desirable. Approaches used include
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PhD Scholarship This PhD project will develop an Australian-focused modelling framework to assess carbon and biodiversity market designs, comparing environmental and economic outcomes to inform
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networking and career development. Candidates should hold a MD, DVM, or PhD degree, and should have interest in the bone-kidney axis and in spatial biology. Experience with mouse models is desirable
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systems capable of selecting and combining models of different complexity, in order to better represent groundwater dynamics and improve large-scale predictions under climate change. Objective — The PhD
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models, for the analysis of high-throughput multi-omics datasets (especially single-cell and spatial omics), large textual corpora (e.g., scientific literature), and/or pathologic images. Our research
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, neurophysiology, and optical sciences. SPPIN provides access to state-of-the-art facilities within the multidisciplinary scientific environment of the Faculty of Fundamental and Biomedical Sciences. Spatial