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current and electro stunning. Candidates should have experience with and knowledge of bioimpedance and multi-physics simulations, or similar. It is advantageous if the candidate has basic knowledge
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years or within 3.5 years, the PhD candidate is qualified for a completion grant for either 12 or 6 months. The completion grant should be used to to gain further qualifications (and experience), such as
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background or other experience Documented proficiency in Norwegian or another Scandinavian language In the assessment, the emphasis is on the applicant's potential to complete a research education based on
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Resource Economics. The position is a part of our participation in the center for research-based innovation: SFI Dsolve- Biodegradable plastics for marine applications which includes SINTEF Industry and
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using GNN for prediction and design new algorithms with theoretical guarantees. This PhD project will be at the interface between statistics, logic and machine learning. Project supervisors: Egor V
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on the master's thesis or equivalent, and any other scientific work. The project description will also be considered. In addition, other experience of significance for the completion of the doctoral
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scientific work. The project description will also be considered. In addition, other experience of significance for the completion of the doctoral programme may be given consideration. We will also emphasize
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scientific work. The project description will also be considered. In addition, other experience of significance for the completion of the doctoral programme may be given consideration. The applicant’s
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to be studied, the choice of scientific theory and method, and the proposed implementation plan for the study The applicant’s experience, personal suitability and motivation for the post, including her
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spoken English) . It is preferable that the candidate has (and can document): a strong academic track record experience in collection-based research (both physical and/or digital) teamwork and networking