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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
Job Description Department of Culture and Language (IKS) and IMADA invite applications for a full-time Postdoctoral Researcher (18 months) in Natural Language Processing and Digital Humanities
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Job Description The Department of Culture and Language at SDU in collaboration with SDU Climate Cluster is looking for a postdoc with expertise in climate and agricultural modelling. The position is
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widely in top academic outlets. As part of an international department where the working language is English, HEDG provides a vibrant and collaborative research environment. The successful candidate will
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. Living and working in Denmark Foreign applicants will be offered Danish language training as part of the employment. The International Staff Office (ISO) at SDU provides a variety of services for new
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using language models and surveys of stakeholders within child and adolescent mental health services. Research environment The postdoc position is hosted within the pharmacoepidemiology research group
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of applications may be used in the initial selection process. Living and working in Denmark Foreign applicants will be offered Danish language training as part of the employment. The International Staff Office (ISO
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problems, you must contact hcm-support@sdu.dk . International applicant? Foreign applicants will be offered Danish language training as part of the employment. The International Staff Office (ISO) at SDU
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applicants will be offered Danish language training as part of the employment. The International Staff Office (ISO) at SDU provides a variety of services for new employees, guests and people who consider
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applicants will be offered Danish language training as part of the employment. International Staff Office (ISO) at SDU provides a variety of services for new employees, guests and people who consider
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researcher for a two-year position within the ADaM project (Autonomous workflows for Data-driven first-principles Modelling). By leveraging agentic Large Language Models (LLMs), the project will develop