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Call for Nominations: 2026 Vega Medal in Physical Geography
Each year, the Swedish Society for Anthropology and Geography (SSAG) awards a gold medal to an outstanding researcher in physical geography, human geography, or anthropology. Every third year, the prestigious Vega Medal is presented to a physical geographer, an award that has honored some of the world’s most influential scientists in the field. The Importance of the Vega MedalThe Vega Medal is one
https://www.nateko.lu.se/article/call-nominations-2026-vega-medal-physical-geography - 2026-10-07
Call for visiting researchers in Computational Science 2026
LUNARC service stop: 8-10 June 2026 - Completed
Call for Submissions: Best Thesis Award 2026
Multiconfigurational methods for electronic structure of impurities in solids: MESS-2026
Agile Software Development, EDAG05F (VT 2026, 7.5 ECTS)
This course will teach knowledge and practical experience of how to develop software together in a team. The focus is on practical experience of methods and tools suitable for a smaller software project with one developer team. ObjectivesThis course will teach knowledge and practical experience of how to develop software together in a team. The focus is on practical experience of methods and tools
https://www.compute.lu.se/article/agile-software-development-edag05f-vt-2026-75-ects - 2026-10-07
Scientific Computing with Python and Fortran, FMA320F (HT 2026, 7.5 ECTS)
This course is intended for students with basic knowledge of programming in any language who would like to learn the techniques of scientific programming. ObjectiveThis course is intended for students with basic knowledge of programming in any language who would like to learn the techniques of scientific programming. The course covers scientific programming in Python, including writing numerical c
https://www.compute.lu.se/article/scientific-computing-python-and-fortran-fma320f-ht-2026-75-ects - 2026-10-07
New rules for receipts and attachments in Primula for 2026
Registration for AI Days 2026 is now open – choose from more than 30 programme sessions
Artificial Intelligence in Medicine and Life Science – AI for text and language data (HT 2026, 1.5 and 6 ECTS option)
This course teaches how deep learning-based models can be used for text and speech analysis and highlights concrete application opportunities and challenges within medicine and life sciences.It also covers large language models (LLMs) and their applications such as AI chatbots and agentic AI. ObjectivesArtificial intelligence (AI), and deep learning in particular, is rapidly entering medicine and
ECEL 2026 comes to LUSEM: Exploring the future of digital learning
Report from the Faculty Board meeting (4 February 2026)
The Board of the Faculty of Medicine (MFS) has held a meeting. The meeting began with the dean informing about the audiology programme, where admissions will be paused from autumn 2027 and how we could continue to educate audiologists through various educational solutions. She also informed about the issue of premises and how the discussion with Regionfastigheter about CRC will be handled. Vice-De
https://www.intramed.lu.se/en/article/report-faculty-board-meeting-4-february-2026 - 2026-10-07
Hey researcher! Don´t miss to apply for the Nobel Symposia 2026
IT News: For a smoother 2026, plan your telephony and computing needs
WCMM Research Day 2026: A look through the lens of science, collaboration and careers
Sofia Bergh PhD thesis defence 6 May 2026
Summary of the Faculty of Science Board meeting, 11 February 2026
Introduction to Artificial Neural Networks and Deep Learning, NMV012F (HT 2026, 7.5 ECTS)
This course gives an introduction to artificial neural networks and deep learning, both theoretical and practical knowledge. ObjectiveDeep learning and artificial neural networks have in recent years become very popular and led to impressive results for difficult computer science problems such as classifying objects in images, speech recognition and playing Go. This course gives an introduction to
https://www.compute.lu.se/article/introduction-artificial-neural-networks-and-deep-learning-nmv012f-ht-2026-75-ects - 2026-10-07
