Aim and contentThis course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD Students from NorDoc member faculties. All other participants must pay the course fee.Anyone can apply for the course, but if you are not a PhD student at a Danish university, you will be placed […]
MAPSP is a biennial workshop dedicated to building a community of researchers interested in theoretical and practical aspects of scheduling, planning, and timetabling. The 16th Workshop on Models and Algorithms for Planning and Scheduling Problems (MAPSP 2024) will be organized at Hotel Koldingfjord, Kolding, Denmark. The impressive 1911 building of Hotel Koldingfjord is located right […]
This course is supported by Danish Data Science Academy (DDSA) Registration: https://phd.moodle.aau.dk/course/view.php?id=2422 Lecturer(s): Associate Professor Roman Jurowetzki (Aalborg University Business School) Associate Professor Rolf Lyneborg Lund (Department of Sociology and Social Work, Aalborg University) Assistant Professor Mathieu Jacomy (Department of Culture and Learning, Aalborg University) Numbers of seats: 21 - We will contact you after […]
The 6th Nordic Fintech Research Symposium will focus on how academia, fintechs, larger financial institutions and authorities can collaborate on fighting financial fraud with a special focus on Anti Money Laundering (AML) by applying knowledge from state-of-the-art research and advanced industry solutions For the Symposium Copenhagen Fintech has worked with The Department of Computer Science […]
Welcome to Machine learning in health technology Program: BEN Description: Do you want to get into machine learning but do not know where to start? This is a 3-day course with a practical approach to machine learning directed to PhD students at the Faculty of Medicine. The course includes two days of lectures from basics about machine learning to […]
Welcome to Self-Supervised Learning Organizer: Zheng-Hua Tan Lecturers: Zheng-Hua Tan ECTS: 2 Date/Time: November 18-20, 2024 Deadline: 28 October 2024 Max no. Of participants: 50 Description: The course gives an introduction to self-supervised learning methods for learning representations of single- and multiple-modality data, covering deep architectures, training target and loss functions used in state-of-the-art methods, and selected downstream applications. A focus will be […]
Welcome to 3rd symposium on the advances in biomedical engineering and neuroscience Program: BEN - MANDATORY COURSE FOR BIOMEDICAL ENGINEERING AND NEUROSCIENCE Description: The course has a focus on disseminating the most relevant and recent achievements within biomedical and engineering science to address relevant health care problems. This course will be organized annually and will include […]