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interdisciplinary team of biologists, statisticians and philosophers, including one other PhD student (statistics) and two postdocs (spatial forest ecology and philosophy/social science). The candidate is expected
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will evaluate potential biases among different measurement approaches —including thermochronology, cosmogenic nuclides, and suspended sediment records— and apply advanced statistical analyses and erosion
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fulfilled all requirements for the award of a PhD or equivalent qualification in a relevant field by the date of employment. Desired Qualifications: Mandatory (M), recommended®, and ideal-but-not-necessary (I
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geospatial analysis tools (e.g., ArcGIS, QGIS) and spatial statistics is advantageous • Proven skills in research design, statistical analysis, and qualitative/quantitative methodologies. • Experience with
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Forecasting the Future of Biodiversity: Cutting-Edge Approaches to Population and Community Dynamics
to hear from you ahead of applying. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying View DetailsEmail EnquiryApply Online
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other post-doctoral researchers. The project will also provide a specific budget for a laptop and for travels to workshops and other meetings. REQUIREMENTS: A PhD in an environmental, economic, or related
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the Catwalk and Motorater equipment), spatial memory test (Y-maze). The software Anymaze to acquisition and analysis of behavior will be used for this purpose. Administration of golexanolone treatment to rats
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responses to the allograft and tolerance induction. We use systems immunology approaches including multiparameter immunophenotyping, transcriptomics, proteomics, leukocyte functional assays, and statistical
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grasslands and evaluation of land-use intensity, Expertise in classification with machine-learning methods, statistics, spatial analysis and land-use modeling, Experience and interest in conducting fieldwork
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various data types such as whole-genome sequencing (WGS), whole-exome sequencing (WES), RNA sequencing, spatial data, etc, and will also include rich clinical annotation to explore the clinical implications