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Missouri University of Science and Technology | Rolla, Missouri | United States | about 12 hours ago
individual meetings. • Present data and findings to research groups in the University and at national meetings. Qualifications Minimum Qualifications: PhD in a relevant field (Biochemistry, Molecular
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the lives of people living with dementia and neuroprogressive conditions. The role involves leading and contributing to mixed-methods research across all stages, from design and data collection to analysis
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analytical techniques and their application to clinical problems. We expect the applicant to have some experience in statistical data analysis and to be a highly-motivated, precise-working person with
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bioinformatics analysis for large-scale spatial and single-cell omics as well as next generation sequencing studies. Assist researchers in programming and data analysis. Perform analysis of complex and large-scale
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— information provided in the CV and/or in the motivation letter; Experience in data acquisition, processing and analysis — information provided in the CV and/or in the motivation letter. Additional optional
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discipline relevant to the project, completed before the start of the position. You have a solid methodological foundation in ecological data collection and analysis, such as field‑based sampling, quantitative
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, to analyse it and to write a report of the analysis. The successful applicant will have (or be near to completion of) a PhD in a relevant field with expertise in quantitative and/or qualitative analysis
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-throughput synthesis, automation, and data-driven approaches. Key Responsibilities: Design and execute high-throughput synthesis workflows for solid-state materials, including intermetallics, chalcogenides
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-grade codebases, including data pipelines and analysis workflows. Developing and deploying AI agents and large language model–based tools for tasks such as document processing, information extraction
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cross–work package integration, particularly in developing tools for blue–green infrastructure policy and decision-making. Perform quantitative and qualitative data collection, analysis, and visualization