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(WEFE) nexus, and model-based learning and communication. The group makes use of a variety of tools and techniques: stakeholder mapping, governance analysis, participatory modeling, non-linear feedback
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the application Skilled in either computational modelling or experimentation, paired with the willingness to work on both Personal characteristics To complete a doctoral degree (PhD), it is important that you are
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for probabilistic unsupervised learning for structured biological data. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/307053/3-years-phd-position-in-probabilistic-machine
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methods, and governance models capable of identifying where power is concentrated and how it might be reconfigured to preserve organizational autonomy and national digital sovereignty. While principles
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. The project offers opportunities to contribute to research with strong relevance for the decarbonization of industry, while gaining expertise in modelling, analysis, and potentially experimental investigation
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. The research may involve a combination of commercial process simulation tools and in-house model development for individual unit operations and integrated systems. Hybrid modeling approaches combining first
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deadline. If you wish to be exempt from entry on the public applicant list, this must be justified. Assessment will be made in accordance with current legislation . You will be notified if the exemption is
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Science grant. The candidate would join the “Project knockout” team and conduct laboratory testing of pain, reward, and stress in a newly discovered human genetic knockout model population. Data analysis
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objective is to develop methods that move beyond correlation-based prediction toward causal reasoning, intervention-aware modelling, and interpretable AI systems. This transition from correlation to causation
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Department. The workplace will be Trondheim. About the project The position is linked to the project LAIFA (Leveraging AI in Flow Assurance), funded by the Research Council of Norway and in collaboration with