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, materials science, physics or a related field. Experience in synthetic organic/materials chemistry. Experience with optics and imaging is highly appreciated. Basic programming skills (e.g. Python, PyTorch
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of classification algorithms Correlate/Integrate In Vivo and Ex Vivo metabolite analysis to understand the key metabolic pathways in different tumour types and subtypes Identify and harmonise MRI and MRS acquisition
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on mathematical modelling. Become a part of a legacy that is changing the face of global health. At the Sydney School of Public Health, we empower our students and researchers to make a lasting difference, driving
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working directly with stakeholders, observing the outcomes of your work first-hand, and collaborating with different disciplines on shared goals, this is the ideal role for you. Our technology stack is
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) (Reference: 24-STB-PB4-PD) Understanding how different Earth system components affect the variation of life forms and how this diversity of life impacts tectonic, geomorphic, and climatic processes at various
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transferred to other regions with different physiographic contexts and hydroclimatic regimes. The most recent advances in large-scale gridded hydrometeorological data with relatively high spatio-temporal
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, as well as experience in programming with Python, R, SQL, and knowledge of web technologies (HTML, CSS, JavaScript). A good command of the English language is also valued. Knowledge of tools used in
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different European forest types to improve representation of European forest responses to recurrent droughts (soil and atmospheric) within the Land Surface model (LSM) of an Earth System Model (ESM), and 2
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). You have good experience in Python/Matlab and can learn a new programming language rapidly. Experience with other image processing tools & libraries (e.g. OpenCV, PyQt, CUDA) is a plus. You are used
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supervision. Experience in Stata is essential and experience with R and/or Python desirable. We are looking for someone with fluency in written and spoken English, with excellent written and verbal