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collaboration with the theorists involved. The postdoc will construct and use 3D printed model porous media. The analysis will entail extensive use of image analysis techniques such as Particle Image
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. The appointment process will adhere to the principles set out in the Norwegian Civil Service Act (lovdata.no) and legislation governing the export of knowledge, technology and services. Background checks may be
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our lab facilities, also incorporating theoretical models of complex flow. Fieldwork is planned in collaboration with a non-profit organization in Morocco, providing opportunities to test the concepts
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other are developing regulations that provides both incentives and constraints for the energy transition and emission reduction. The research objective of the PhD is to develop models that captures
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the applicant’s permission, UiA will also conduct a reference check before appointment. Read more about the employment process . In accordance with the Freedom of Information Act § 25 (2), applicants may request
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criteria The candidate we seek must have A master degree in Chemistry/Materials Technology/Process Engineering, or equivalent education. Your course of study must correspond to a five-year Norwegian course
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. Computational modeling in wastewater treatment processess. Qualifications Applicants to the PhD position must have a Master’s degree (120 ECTS) or equivalent higher education qualifications in Engineering
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the Norwegian Civil Servants Act (lovdata.no ), as well as legislation governing the export of knowledge, technology and services. Background checks may be carried out in order to verify information provided in
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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
integration, processing, and modeling. Familiarity with research methodologies related to innovation and sustainability. Competence in programming languages such as Python, R, or Stata. Contact information
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. Assessment of the applicant In the evaluation of candidates, emphasis will be placed on the candidate’s academic suitability and achievements, quality and fit of the suggested PhD project proposal, previous