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

General course objectives:The aim of the course is to give an overview of the 1D and multidimensional NMR techniques that may be used in e.g. NMR based structural and functional analysis. Furthermore, the participants will acquire skills in applying advan

Welcome to Advanced PhD course on Philosophy of Technology: Relating Technology to Ethics, Politics, and the Empirical through the Lenses of Postphenomenology and Critical Theory of Technology/Critical Constructivism (2025)Description: During th

The aim of this course is to train the students’ general and disciplinary writing ability to enhance successful disciplinary writing and editing in conformity with contextual/situational, discoursal and genre- and text-type conventions and requirements of

The aim of this course is to train the students’ general and disciplinary writing ability to enhance successful disciplinary writing and editing in conformity with contextual/situational, discoursal and genre- and text-type conventions and requirements of

The aim of this course is to train the students’ general and disciplinary writing ability to enhance successful disciplinary writing and editing in conformity with contextual/situational, discoursal and genre- and text-type conventions and requirements of

The aim of this course is to train the students’ general and disciplinary writing ability to enhance successful disciplinary writing and editing in conformity with contextual/situational, discoursal and genre- and text-type conventions and requirements of

General course objectives:This is a PhD course parallel to the course 27325, which will give the participants the same deep insight into how proteins are determined and described in 3 dimensions and how the technique is used for rational structural engine

The course is designed to strengthen participants’ understanding of R as a programming language and to support the development of efficient, reproducible, and well-structured code. The focus is on programming skills, workflow management, and the use of to

PrerequisitesBasic understanding of machine learning concepts and Programming skills, preferably in Python. Prior experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch is recommended but not required.Course DescriptionThe