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Field
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brain injury. The successful candidate will work on animal models of brain injuries and apply cutting-edge spatial multi-omic sequencing to study the cellular and molecular changes. The role involves both
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epidemiology, innovative sequencing and bioinformatics technologies including single cell and spatial transcriptomics, molecular biology approaches using cell-based and animal models, and biomarker studies from
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Research Fellow — Electric Vehicle Fast Charging Modelling and Control Job No.: 679659 Location: Clayton campus Employment Type: Full-time Duration: 2 year fixed-term appointment Remuneration
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models, frameworks, and methods to confront complexity underlying persistent societal challenges affecting the well-being of people and the planet. This position represents a unique opportunity to
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application please include detail on how you match the person specification. Main Duties The responsibilities may include some but not all of the responsibilities outlined below. Developing novel computer-based
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Campus in North Austin. Purpose This position aims to advance innovative processing and acquisition methodologies for land DAS and dense surveys, focusing on synthetic modeling, 4D analysis, and seismic
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related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Contribute to Departmental/School research-related
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of hire. Preferred Qualifications Strong data science skills and demonstrated research experience in analyzing data, such as output from regional-scale hydroclimatic models and hydrologic models related
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for assessment by conventional high resolution techniques (SRCT, FIB-SEM, AFM, TEM). Prepare and analyse artificial demineralised lesions obtained under various etching conditions with multi-scale match to
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in writing grant applications and working with machine learning approaches such as MaxEnt, random forest, neural network. Experience using Geographical Information Systems and ecological niche modeling