PhD Courses in Denmark

Directed acyclic graphs (DAGs) are increasingly used in modern epidemiology to visually present causal assumptions. Once one can manage the rules for translating the causal assumptions into a DAG and reading off statistical associations from the causal as

General course objectives:Currently, in research institutes, hospitals and industries, the use of whole genome sequencing (WGS) is an area of key interest for scientific officers/researcher. WGS is being used/could be used in several applications for diff

Entry requirementsBachelor of Science  or alike. Academic preconditionsStudents taking the course are expected to: Basic knowledge in statistics and data analysis Understand the basic principles of molecular biology Course introductionThis

PhD programme in Anthropology Date and time: 21 August 2026 from 9-12.Much contemporary anthropological and ethnographic research is driven by a sense of social justice, and a desire to understand and critique structures and norms through w

Dates and time: 8-9 October and 9 December 2026 from 9:00-16:30​Doing a PhD implicates a lot of writing – on the thesis, on articles, writing papers, etc. At the same time, though, writing is something that many find difficult to

Department for Technology and Innovation, OdenseTeaching language: English - ECTS / weighting: 5 ECTS / 0.083 full-time equivalent.Teacher: Monica ArmengolPeriod:  Autumn Term 2026 Offered in: Odense. Date and times of classes will be agreed wit

Objectives of the course:This graduate course is for PhD students and other researchers who wish to use X-ray free electron lasers (XFEL) in their research. The course provides the student with an introduction to the basics of the world’s most brill

General course objectives:The overarching objective of the course Young Researcher Entrepreneurship Bootcamp is to strengthen the entrepreneurial capabilities of doctoral students and early career researchers, thereby contributing to an increased number o

Objectives of the course: This course is aimed at a growing cohort of postgraduate data scientists and biologists who use automated methods to study insects (and other arthropods) in their research. Participants will be introduced to the state-of-the