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to communicate in English, both spoken and written Knowledge and experience of independently performing spatial omics (data collection and analysis) Knowledge and experience of independently performing
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developing approaches to leverage spatial data to better understand evolutionary histories. More information about the lab and their work can be found by visiting https://federlab.github.io/ About the
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of statistical packages (Stata, R or equivalent). • Experience in spatial analysis and use of Geographic Information Systems (GIS). • Ability to work with large databases and data management tools. Languages
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interpersonal and communications skills. Qualifications Mandatory: PhD in related field Desirable: Experience in spatial analysis, proteomics. Please Note: Appointment to this position is subject to passing a
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. Demonstrated proficiency in GIS, remote sensing, spatial analysis, or other applied geographic techniques. Preferred: PhD degree in Geography, Geosciences, Computer Science, Environmental Science, or a closely
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of High-Throughput Mass Spectrometry Data, Single-Cell and Spatial Omics Data Analysis, Biomedical Data Integration and Visualization, Computational Systems Biology and Network Medicine, Computational
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incentives, behavioural drivers, and land-use decisions at the meso-scale (e.g. river basins or regions), using clear case studies. You develop modelling approaches that bridge economic analysis and spatial
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details. Read about the PhD education at SLU at https://www.slu.se/en/study/programmes-courses/doctoral-education/ Academic union representatives: https://internt.slu.se/en/my-employment/employee
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https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025-scales/t37-b.pdf . A reasonable full-time estimate for this position is $76,700 - $97,700 Percent time: 100
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ACCE+ DLA programme: Landscape-scale drivers and limits of endangered species spatial and temporal distribution School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof