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Department of Natural Science, Mathematics and Society
The Department of Natural Science, Mathematics and Society conducts research and development and trains science teachers in mathematics, biology, physics, chemistry, technology and geography. The department’s interest is focused on teaching and learning...
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Internship course for master's studies at K3
The course Internship — Reflecting on one's own practice (15 credits), is an elective course intended for students who have studied two semesters of the Media and Communication Studies: Culture, Collaborative Media, and Creative Industries, two-year...
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Environmental report 2025
The 2025 environmental report highlights key achievements and progress toward Strategy 2030 goals. The report includes a foreword by the Vice-Chancellor; on this page you will also find extracts from the report, and examples of the work we do.
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Moving to Malmö
Moving to a new country is an exciting adventure, but there are also many things to think about: visa and permits, health insurance and healthcare, student housing, personal identity number as well as practicalities and your social life as a student.
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RESEARCH CENTREMalmö Institute for Migration Studies (MIM)
Malmö Institute for Migration Studies is an international research centre with a multidisciplinary profile and a strong international presence. Within the centre and its extensive network, researchers develop, explore and exchange knowledge of...
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Work with us
Discover career opportunities at Malmö University, meet some of our colleagues, and learn more about the benefits and supportive environment we offer our staff.
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Co-Create Malmö
Co-create Malmö is a learning network and resource for those who want to explore or develop more inclusive and collaborative ways of working. The aim of the initiative is to collectively enhance our contributions to sustainability, equality and inclusion...
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Staff
Christina Lindh - Associate Professor/Professor emeritus/emerita
christina.lindh@mau.se+46 70 456 11 91Division 2 -
News
Published: 25 February 2026AI produces stereotypical and anachronistic images when portraying the past
Can AI help us understand the past – or does it project a hallucination of history? A research project tested how an image model visualises the year 1936: the results are stereotypical, anachronistic and shaped by today's digital image flows.
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Doctoral courses
All doctoral courses at Malmö University, whether university-wide and or provided by a faculty, are open to doctoral students at Malmö University or any other university. All courses are free of charge for all participants.