PhD Courses in Denmark

Enrolment guidelines This 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 cour

Data visualization is the science and practice of encoding often large and complex datasets into visual representations to support their analysis and communication. Such a visualization can be worth more than a thousand words, as the saying goes -- but on

Data visualization is the science and practice of encoding often large and complex datasets into visual representations to support their analysis and communication. Such a visualization can be worth more than a thousand words, as the saying goes -- but on

Dates and time: 26 - 29 May 2026 from 9:00 to 16:00Are you passionate about exploring the intersection of digital technologies and the humanities? Join our PhD course ‘An Introduction to Digital Humanities and to the digital treatment of langua

The course aims to provide participants with a solid foundation in fluorescence microscopy, focusing on basic techniques, sample preparation, image acquisition, and image analysis. 

General course objectives:The aim of the course is to introduce PhD-students at DTU Sustain to the research field of environmental and resource engineering and to provide an understanding of the concepts and tools of research and innovation in this field.

Enrolment guidelines This is a generic course. This means that the course is reserved for PhD students at the Graduate School of Health and Medical Sciences at UCPH. Anyone can apply for the course, but if you are not a PhD student at the Graduate School,

Welcome to Introduction to Information Theory in NeuroscienceDescription: In this course, we introduce key concepts from information theory and their applications in neuroscience. The course provides a gentle introduction to the foundations of i

The aim of this course is to introduce research data management. Finding, collecting, analyzing, storing and sharing data are central activities in research. Research Data Management (RDM) and FAIR (Findability, Accessibility, Interoperability, Reusabilit

The aim of this course is to introduce research data management. Finding, collecting, analyzing, storing and sharing data are central activities in research. Research Data Management (RDM) and FAIR (Findability, Accessibility, Interoperability, Reusabilit