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division at the department of Electrical engineering at Chalmers. Here, a team of PhD students, post-docs and senior researchers are working on modeling and numerical optimization of problems in the areas
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) analysing the effects of different trade-offs between timber production and biodiversity under the influence of climate change, and 3) developing optimisation models based on heuristic and AI-based methods
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and projects. Responsible. Good English writing (and speaking) skills. Additional qualifications Experience in the analyses of large-scale human population genomic data. Experience in using standardized
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combination of different methods such as population genetics, analyses of fungal environmental DNA and soil spore banks in soil to find out about the life histories of ectomycorrhizal fungi in general, and
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long-term, and most often global, perspectives on future renewable fuels for transport. We seek to rigorously analyse the feasibility of energy transitions, utilize empirical as well as estimated data
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include: Developing the model using open-source Python software Planning and conducting experiments Analysing teardown reports and experimental data Validating and improving the model Publishing results in
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the management and feeding of biogas reactors. This includes responsibility for research that involves planning, sampling, reactor maintenance, overall laboratory work connected to biogas processes, data
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the interactions of trees with fungi and fungal-like (oomycete) organisms, including host symbioses and tree defense mechanisms. We conduct molecular diagnostics and host-chemical analyses to better
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an English-speaking environment Meriting qualifications: Experience in performing spatial analyses (GIS) Experience working with large databases Experience working independently and organizing one’s own work
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motivated and committed PhD candidate to develop and analyse green logistics systems through the application of emerging technological and logistical solutions to promote the transition to fossil free