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analysis, work with large language models, network analysis, causal inference in machine learning and agent-based modelling. Experience in collecting, curating and analyzing large digital datasets with
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networks are controlled, to develop predictive models of methane cycling in northern rivers. This postdoc position will focus on assessing how stream methane emissions are linked to permafrost thaw, using
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, and engage with a vibrant network of national and international collaborators. The recruited candidate will work in the AIMLeNS lab lead by Assoc. Prof. Dr. Simon Olsson at Chalmers University
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relevant duties/assignments within the subject area. Other merits The scientific work is conducted within the research group as well as in association with a larger collaborative scientific network, and good
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analysis, work with large language models, network analysis, causal inference in machine learning and agent-based modelling. Experience in collecting, curating and analyzing large digital datasets with
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written and spoken. Strong communication and organizational skills, as well as a demonstrated ability to produce high-quality results within set deadlines, are essential. Personal motivation and suitability
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to tax. The PI covers running costs for the project. Project description What if we could decode the hidden language within plant genomes that controls their resilience to climate change, their growth
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, Design and Engineering our students are studying to be for example innovators, entrepreneurs, illustrators, information designers, network technicians and engineers. We have five research specializations
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that share the same research questions around adhesives and adhesive bonding. Therefore, besides the scientific tasks, the position also includes responsibility for research communication by participating in
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experience in these areas. Personal qualities such as collaboration, communication, strong drive and motivation, critical thinking abilities, creativity and analytical skills are essential. You should be able