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to the level of a Norwegian master’s degree. Please see https://hkdir.no/en/ for more information about HK-dir’s general recognition. The review process by HK-dir may take some time. Therefore, please submit
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scope and level that corresponds to the level of a Norwegian master’s degree. Please see https://hkdir.no/en/ for more information about HK-dir’s general recognition. The review process by HK-dir may
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administrative tasks at the Department. About the project/work tasks: The PhD project will focus on the ethical aspects of Natural Language Processing (NLP), addressing challenges such as bias, fairness, alignment
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the processing of the applications. The following applies to the position About the PhD position: The fellowship will be for a period of 3 years, with the possibility for a 4th year contingent on
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contributions are not only habitually underrecognized, but they are also often excluded from governance- and management processes and lack social and economic rights. However, we know little about how gender
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Norwegian master’s degree. Please see https://hkdir.no/en/ for more information about HK-dir’s general recognition. The review process by HK-dir may take some time. Therefore, please submit your application
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of these groups is invited for an interview as part of our commitment to inclusivity and equal opportunity. For further information about the recruitment process, click here . Where to apply Website https
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: Katharina Sass – katharina.sass@uib.no . Practical questions regarding the application process can be directed to HR advisor Gudrun Horvei – gudrun.horvei@uib.no . The successful candidate will be admitted
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connected to the application process, please contact HR Adviser Selina Sia Hausberg Diversity and Inclusion MSCA -Endotrain has a gender equality plan where gender balance among employees is therefore a goal
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information regarding technical matters connected to the application process, please contact HR Adviser Selina Sia Hausberg Diversity and Inclusion MSCA -Endotrain has a gender equality plan where gender