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in using natural language processing (NLP) methods on large-scale text data. Candidates with substantial experience in NLP and text-based analysis will be particularly well suited to the project
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candidate should have a basic training at the Master’s level (similar to the 3 + 2 Bologna process and a total of 180+120 ECTS). However, applicants who hold a one- year Master’s degree may also be considered
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-operation and/or international co-operation. Documentation of relevant, significant, original research at an international level, including publications in the field’s internationally recognized journals and
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(diplomas) and a full CV including information indicating experience in industry co-operation and/or international co-operation. A brief description of research profile, research publications, research
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to the 3 + 2 Bologna process) have received the grade of 10 (or equivalent) for the master's thesis according to the Danish 7-point grading scale (https://ufm.dk/en/education/the-danish-education-system
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The department will give priority to applicants with high grades from their universities. To be considered the applicant must: have a basic education at master's level (corresponding to the 3 + 2 Bologna process
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across Europe. The selected candidate will support coordination across all project partners and contribute to the implementation of project activities, reporting processes, stakeholder engagement, and
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faculty onboarding activities, training materials, workshops, and implementation support processes. supporting the integration of the AI mentor into entrepreneurship courses, incubator programmes
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languages will be taken into consideration) A brief (1-page) research statement explainingresearch plans for the 2-year postdoc period, and possibly beyond. Recruitment procedure The Recruitment Committee
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) research statement explainingresearch plans for 4-year postdoc project period. Recruitment procedure The Recruitment Committee will shortlist a minimum of two applicants; when possible five or more