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used anonymously for the purposes of governmental annual review. Application process Applicants will be evaluated by an internal expert committee. Relevant applicants will be invited for an interview
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, alexander.juterbock@nord.no , Phone: +47 75 51 78 34 Application process Applicants will be evaluated by an internal expert committee. Relevant applicants will be invited for an interview, trial lecture or other
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their CV, their details may be used anonymously for the purposes of governmental annual review. Application process Applicants will be evaluated by an internal expert committee. Relevant applicants will be
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they are not mandatory. If you choose to include letters of recommendation, the references should send their letter of recommendation in PDF format to hr-phd@nhh.no by latest 15 September 2025. Contact details
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application, but they are not mandatory. If you choose to include letters of recommendation, the references should send their letter of recommendation in PDF format to hr-phd@nhh.no by latest 15 September 2025
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. The review process by HK-dir may take some time. Therefore, please submit your application to HK-dir as soon as you decide to apply for the position. If you do not receive a response within the application
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Further information about the position can be obtained by contacting : Associate Professor Christopher J. Hulatt, christopher.j.hulatt@nord.no , Phone: (+47 Norway) 9009-8564 Application process
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to investigate the cognitive and social behaviour (such as knowledge acquisition, organization, and transmission, recognition processes, or risk assessment and decision-making under uncertainty) involved in
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employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load from YouTube. Accept
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the appointment is based on a previous qualifying position PhD Fellow, research assistant, or the like in such a way that the total time used for research training amounts to three years. We process personal data