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metrics directly into the design loop to drive durable, resource-efficient components, validated against analytical benchmarks or experimental data. Where to apply Website https://www.jobbnorge.no/en
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15 Apr 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Civil and Environmental Engineering Research Field Engineering
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Sciences, Logistics, Sport Management, and Economics. We have about 315 employees and 3 800 students at our campuses in Molde and Kristiansund. Read more about us: https://www.himolde.no/ The PhD position is
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. The project’s PI is Associate Professor Iselin Åsedotter Strønen. For more information about the project, see https://www4.uib.no/en/research/research-projects/invisible-women-of-the-sea-gendering-fishery
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. The candidate must be enrolled in the PhD program no later than three months after employment. More information on PhD education: https://www.hvl.no/forsking/forskarutdanning How to apply: Submit your application
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. The candidate must be enrolled in the PhD program no later than three months after employment. More information on PhD education: https://www.hvl.no/forsking/forskarutdanning How to apply: Submit your application
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detailed information on the admission criteria please see the PhD Regulations and the relevant PhD programme description . The applicant must document expertise and interest in the research subject. This
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information, please see the PhD Regulations . Experience from data science or relevant laboratory work. Fluency in written and spoken English in agreement with the admission criteria for the PhD program. For
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techniques to identify the enzymes, as well as protein purification and recombinant protein expression to get hold of the enzymes. The PhD student will be part of the large and international PEP group (https
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fairness in FairChoices: DCP Analytics Tool (www.fairchoices.org ) and integrate these with existing information on the cost-effectiveness of multiple health care interventions. To apply social welfare