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21st September 2025 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Human Building Interaction Apply for this job See advertisement This is
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that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty’s doctoral program (PHBIOT ) Excellent communication skills in oral and written English
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programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and other duties. The objective of the position is to complete research training to the level of a
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previously has been employed in a PhD position. About the PhD training: As a PhD research fellow, you will take part in the PhD programme at the Faculty of Social Sciences, UiB. The programme corresponds to a
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of the position: Follow the faculty’s PhD program Plan design and carry out experiments and their analysis Prepare research articles for peer-reviewed journals (min. 3) Be willing to present results at conferences
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for the programme in total and the master’s thesis. See admission requirements: PhD in Biosciences It is assumed that the selected candidate will be admitted to the faculty’s doctoral programme. A final project
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of their master’s degree Grade average of B or better (or equivalent score) both for the programme in total and the master’s thesis. See admission requirements: PhD in Biosciences It is assumed that the successful
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completed master’s degree (or equivalent) that meets the admission requirements for the Ph.D. programme in Biosciences at Nord University. Relevant academic backgrounds include chemistry, chemical engineering
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(or equivalent score) both for the programme in total and the master’s thesis. See admission requirements: PhD in Biosciences A good knowledge and practical experience in molecular ecology, population genetics
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, both oral and written Grade average of B or better (or equivalent score) both for the programme in total and the master’s thesis Desired qualifications: Good knowledge about population ecology Good