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unique large-scale longitudinal data on artists and academic scholars, the project applies methods from applied econometrics and economic demography to analyze creative productivity, originality, and
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-of-the-art methodology in endogenous protein editing and tagging by CRISPR and integrase strategies. Training in state-of-the-art technologies and data analysis as well as research management, oral and written
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
should be sent electronically via the link "apply online" and the Faculty expects applicants to read the information "How to apply " before applying. The application must include: A letter stating your
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Confederation of Professional Associations). Please check links for more information on salary (only available in Danish) and taxation . The application must include the following: A letter explaining your
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. Key activities include analysis of clinical and patient-reported outcome data, coordination of implementation studies in collaboration with ENT clinics, dissemination of results through peer-reviewed
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start to finish. Specifically, the project will combine 30 years of Danish health data at the service of hundreds of women with endometriosis, recruited through online platforms. It will use AI-enhanced
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links for more information on salary (only available in Danish) and taxation . The application must include the following: A curriculum vitae including information on previous employment with start and
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(the Danish Confederation of Professional Associations). Please check links for more information on salary (only available in Danish) and taxation . The application must include the following: A letter
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frame Further information If you have any questions about the position, please contact Associate Professor Silke Behrendt sbehrendt@health.sdu.dk , phone 0045-93507195 or Professor Kristine Rømer Thomsen
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diagnostic pathways. Core research tasks include planning, conducting and publishing epidemiological studies using large-scale observational data, primarily register-based, with a focus on effects of ADHD