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- NTNU - Norwegian University of Science and Technology
- NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU
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- NTNU Norwegian University of Science and Technology
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. The candidates are anticipated to undertake: Review of the scientific literature and state-of-the-art on treatment technologies for aquaculture sludge and wastewater Advanced statistical analysis and other data
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resources. Reviewing existing state-of-the-art literature and collecting data. Conduct high-quality research and report progress regularly and in agreement with the supervisors. The candidate is expected
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statistical material. Perform qualitative and quantitative analyses. Assist with organizing conferences and seminars. Conduct literature searches. Other administrative tasks. Requirements and personal
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own approach to the project, i.e. through selection of actors and issues to be studied in more detail Identify knowledge gaps in the relevant literature Adopt appropriate methodology Gather information
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existing academic literature. A proposal that does not meet these guidelines will cause a rejection of your application. A CV (summarising your education and work experience). Copies of your educational
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Health Nutrition at the faculty of Health Sciences at OsloMet. The PhD candidate will also be part of the research group in machine learning at SimulaMet and the Faculty of Technology, Art and Design at
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within the scope of The Literature and Religion research group or the Research group for Aesthetic and Cultural Studies. The Department of Foreign Languages spans nine different languages: Arabic, Chinese
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-literature, etc.). For a position as a Ph.D. candidate, the goal is to complete a doctoral education and obtain a doctoral degree. The Ph.D. candidate will be affiliated with the research group New
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salmon. Contribute to diet formulation and feed production. Study the impact of novel microbial feed ingredients on fish performance and health, using state-of-the-art tools (including transcriptomics
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computing techniques. You will join a team of international researchers with diverse backgrounds to address the challenges presented by a common problem, and to improve over the current state-of-the-art both