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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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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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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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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
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and activities connected to our PhD program. In addition to producing individual research, the applicant is also expected to interact with existing researchers within the department, and to contribute
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. The candidate will combine experimental and computational approaches. The project will start with bioinformatics-driven analysis, followed by integration of data generated from experimental models. Over time, the