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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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-temporal machine learning method development, including: generative models for grid-based and particle-based spatio-temporal data; controlled generation methods for data assimilation; and graph-based multi
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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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Industrial Engineering, with specialization in hydrogen supply systems,you will join a research group dedicated to large-scale hydrogen supply and storage systems. The aim is to develop thermodynamic models
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biophysics division of the department. The research group is associated to the strong microbiology research center in Umeå, the Molecular Infection Medicine in Sweden (MIMS, https://www.umu.se/mims/) and Umeå
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. The research group is associated to the strong microbiology research center in Umeå, the Molecular Infection Medicine in Sweden (MIMS, https://www.umu.se/mims/) and Umeå Centre for Microbial Research (UCMR