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science. You are expected to actively participate in the department’s knowledge environments and networks, both internally and externally. You will be part of an international research project focusing
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Biology, Department of Life Sciences, to develop intelligent systems that integrate metabolic modeling, omics analysis, and automated literature mining. About us The Department of Life Sciences conducts
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-scale data analysis. However, we also welcome qualitative or mixed-method approaches that can provide rich, contextualized insights into how AI technologies influence learning, cognition, and teaching
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at an academic level in English are required. Experience in modeling biodiversity and ecosystem services, GIS, inter- and transdisciplinary collaboration, and quantitative knowledge synthesis (meta-analysis
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biodiversity and ecosystem services, GIS, inter- and transdisciplinary collaboration, and quantitative knowledge synthesis (meta-analysis) are meritorious, as are skills in Swedish. About us The position is
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analysis Willingness to pro-actively collaborate in a network of academia and industry Strong written and verbal communication skills in English The following experience will strengthen your application
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impacts through life-cycle analysis (LCA) and the evaluation of process sustainability within a circular economy framework. This recruitment is connected to WISE (https://wise-materials.org/ ), funded by
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characterization, this position will give you the possibility to collaborate and network with other research groups at Chalmers. Renewable energy systems such as solar and wind power are at the centre of the
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within electricity networks. It is meritorious to have experience in data analysis, time-series processing, and model implementation using Python or similar tools. Awareness of diversity and equal
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electrochemistry and/or electrolysis Strong hands-on experience in material characterization and/or chemical analysis Willingness to pro-actively collaborate in a network of academia and industry Strong written and