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in light of the applicant’s qualifications and ability to present an innovative and long-term interdisciplinary research programme within the position’s focus area. The applicant is to have
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programme within the focus area of the position, based on the applicant’s own competence and experience. Teaching expertise is demonstrated by documented ability and experience in planning and implementing
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Assistant Professor in artificial intelligence (AI) with a focus on precision medicine (PA2025/1776)
tailored to individuals with similar molecular susceptibility patterns and responses to preventive treatments and actions. The area of research encompasses advanced computational methods based on multimodal
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for Assistant Professors with an international background. Our ambition is for you to be nominated for this programme, as one of Lund University’s candidates of excellence. Read more about the Swedish Research
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assistant professor You hold a doctoral degree or have corresponding research expertise in fields such as Film Studies, Theater, Performing Arts, Digital Arts, Creative Technologies, Computational Media, Game
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Assistant Professor in sociology of law with focus on law, rights and social movements (PA2025/1917)
program with a specialization in sociology of law. You currently hold an international position in the research field, and you have not received a salary or grant from Sweden since before 31 December 2021
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the third cycle programme. Lund University is a public authority which means that employees get particular benefits, generous annual leave and an advantageous occupational pension scheme. Read more on the
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Technologies for Transformative Change' and 'Exploring the Transformative Power of Digital Governance in Global Governance'. You are expected to contribute to the entire program, but will primarily work within
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computation. Duties The position includes research and teaching in the subject area. The associate professor is expected to have independent research activities, actively seek research funding, supervise
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to study host-microbiome interactions at the spatial level in the colon. The research activities of the doctoral student will focus on the experimental and computational analysis of spatial gene expression