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spoken English. Experience from prior studies on environmental politics, forest governance or Swedish policy processes and political culture is considered a merit. Interviews will be conducted with a short
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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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of models of clouds and climate at Lund. A new climate model is being developed to represent cloud processes with more realism in the project. The post will involve global modeling with this new climate
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particular attention to how AI systems reshape organizational processes, decision-making practices, and service delivery. The project is situated within Swedish Center for Digital Innovation at the Department
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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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using remote sensing and bioacoustics to track forest conditions, to examining soil and microbial processes that support ecosystem resilience, to developing genetic strategies that improve tree
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processes with more realism in the project. The post will involve global modeling with this new climate model at Lund to investigate mechanisms for the effect from ice nucleating aerosols on clouds and
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of Communication Systems carries out research, undergraduate and postgraduate education. We conduct research and education in communications engineering, statistical signal processing, network science, and
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unhealthy adipose tissue expansion and how sex differences influence these processes. The doctoral student project and the duties of the doctoral student This doctoral project will focus on characterization
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process, is unique and enables the development of unprecedented nanocomposites such as those envisioned in this project. The research provides fertile ground for scientific innovation with the present