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process models from the field of spatial statistics to model clustered patterns across the landscape, and develop methods for estimating plant population size and/or change. Qualifications: Requirements
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information, for example data derived from remote sensing, use point process models from the field of spatial statistics to model clustered patterns across the landscape, and develop methods for estimating
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. The research in the PhD project will focus on core spatio-temporal machine learning method development, including: generative models for grid-based and particle-based spatio-temporal data; controlled generation
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application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is inherently spatio-temporal, i.e. physical processes
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/southern Sweden and potentially other locations (> 8 hours drive from Umeå). Other meriting qualifications are: Strong quantitative skills, with experience in statistical modeling or spatial data analysis in
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managing both spatial and temporal data, these developments will need a close interaction with researchers working in the projects. Your profile We are looking for candidates who hold a PhD in Soil Sciences
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fueling of hydrogen will be tested. These data will be used to validate the developed models and guide infrastructure design. You will collaborate with other PhD students and researchers from Uppsala
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Umeå University, Faculty of Science and Technology The Department of Chemistry is opening a PhD position in Chemistry with a specialization in biochemistry. The thesis project will focus on electron
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The Department of Chemistry is opening a PhD position in Chemistry with a specialization in biochemistry. The thesis project will focus on electron microscopy (EM) method development using focused