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Field
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infrastructure, enabling sophisticated geospatial, isotopic, geochemical and temporal analyses of critical mineral systems. Develop and implement data models following FAIR data management guidelines and tools
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PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical Engineering, etc.), expertise in cutting-edge AI and
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strong academic preparation and experience in both experimental and modeling research work documented by corresponding journal publications, and is expected to perform the following tasks/duties
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, interpretations, analyses and other appropriate techniques. To participate in departmental public engagement activities and initiatives. Promotes equality and values diversity acting as a role model and fostering
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PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical Engineering, etc.), expertise in cutting-edge AI and
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impact of the proposed research that explains how the proposed project will change or influence behavior, practice, procedures, or policy at the relevant scale. A co-creation model of engagement with
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uses quasi-experimental methods to identify causal effects and test the predictions of economic and sociological models. Examples of current research projects include: long-term impacts of neighborhoods
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cleaning clinical trial data to ensure accuracy and readiness for analysis, as well as performing systematic checks and data management for missing or inconsistent data. The candidate will also be expected
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data collection, analysis and reporting Conceptualization and implementation of statistical models Collecting, managing, and structuring quantitative datasets Report writing and manuscript preparation
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. Preferred Experience Experience with vesicle/liposome study and manipulation. Experience with microfluidic systems or dynamic mathematical modeling, Experience within the fields of astrobiology and