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Registration to AI Lund lunch seminar 26 August 2026
Name Organisation Email (required) I would like to participate in the event Participate? (required) Subscribe? Please add me to the AI Lund sendlist Please read the policy and regulations that guide how Lund University processes personal data in this context.AI Lund policy on personal dataLund University privacy policy I am aware of the regulations and policies that guide how Lund University proce
https://www.ai.lu.se/2026-08-26/registration - 2026-06-29
Robotics week for school classes 24-26 November
Robotics week for school classes 24-26 November
LL SMMV26 eng VT21 201124
SMMV26 eng VT22 rev 211006
Kursguide - Course Syllabus • • • • • Details of approval The syllabus was approved by the board of the Department of Service Management and Service Studies on 2019-03-20 and was last revised on 2021-10-06. The revised syllabus applies from 2022-03-28, spring semester 2022. General Information The course is included in the second semester of the Master of Science (120 credits) programme in Service
https://www.ses.lu.se/en/sites/ses.lu.se.en/files/2021-10/SMMV26_eng_VT22_rev_211006.pdf - 2026-06-30
LL SMMV26 eng VT23 rev 221028
LL SESA01 eng VT26 rev 251023
LL SMAA40 eng HT26 rev 260513
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Summary-sheet-molecular-biology-HT26
Summary Sheet, Master’s programme in molecular biology 1/4 Summary sheet MASTER’s PROGRAMME IN MOLECULAR BIOLOGY Please, fill out the designated form fields and answer the questions. Make sure to save the document and check that it is readable before uploading it at www.universityadmissions.se. Did you graduate in Sweden? – Information about grades is not needed. Last name First name BA/BSc degree
Årshjul GU 25-26 EN 260108
LL SESA01 eng VT26 rev 251023 0
SESA01 Welcomeletter VT26
SGR012F Course Schedule VT26
SGR012F/SGR013F: PhD Course Analyses in Qualitative Research Course schedule, spring term 2026 Module 1) Date Time Location Topic/content Teachers Monday Feb 23 10.15–12.00 13.15–16.00 M 123 (G:a Polikliniken) M 123 G:a Polikliniken) Introduction Aims of qualitative methods Lecture: Generating data for analysis – access, sampling, material Kristina Göransson (KG) Malin Åkerström (MÅ) Wednesday Feb
https://www.sam.lu.se/en/internal/sites/sam.lu.se.en.internal/files/2026-01/SGR012F%20Course%20schedule%20VT26.pdf - 2026-06-30