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Field
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teams. Job scope: • Research o Develop research questions, study designs, and analysis plans using SPHS data. o Conduct statistical analyses, longitudinal modelling, or machine learning approaches as
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datasets (e.g., cohort studies) Proven skills in advanced quantitative data analysis (e.g. hierarchical linear modelling, structural equation modelling) Advanced skills in use of statistical analysis
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federal governmental partners, educational facilities, commodity organizations, and Michigan residents. Visit here for more information: https://www.michigan.gov/mdard/about/ag-science . Responsibilities
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social and ecological data on biodiversity and other benefits of perennial agricultural features. We seek candidates with expertise in landscape ecology, agroecology, agrobiodiversity, ecosystem services
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
about social attitudes across Australia. The Research Fellow will compile data, conduct the analysis, and provide geographical visualisation of indicators. This research will be conducted within
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/civil/structural engineering, including familiarity with building management systems, software integration, data collection and analysis. Knowledge of construction QA/QC and quality control workflows (e.g
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by Jul 27, 2026: The University of Notre Dame invites applications for a Postdoctoral Research Fellow with deep expertise in quantitative data analysis, data science, and artificial intelligence (AI
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. This includes the development of novel applications of artificial intelligence, covering areas such as LLMs, generative AI models, computational biology, and the analysis of high-dimensional neural and behavioral
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networks. Data Collection: Conduct in vivo neurophysiological recordings and behavioral assays in mice and tree shrews. Data Analysis: Process large-scale neural datasets, applying computational tools
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for sequencing data processing (e.g., quality control, taxonomic classification, microbial community analysis). Demonstrated experience working in interdisciplinary or industry-linked research projects. Key