PhD Courses in Denmark

Search for PhD courses

Type search word, to look up matching courses

Show advanced search options + Hide advanced search options -
Get an email when a course matches your search
758 search results

Page 37 of 76

Course title City Start date Credits
Interpretation of reflection seismic and wireline log data(G... Copenhagen K - 7,5 ECTS
PhD School at the Faculty of SCIENCE at University of Copenhagen

This is a 2013 course - please contact Lars Ole Boldreel for further information.

Introduction for new PhD students at SUND October 2026 2 ECTS
Graduate School of Health and Medical Sciences at University of Copenhagen

Enrolment guidelines ”Special rules apply for this course” 1. The course is mandatory for all new PhD students at SUND from 2025. 2. This course is only for PhD students enrolled at SUND in the first six months of their enrollment. Therefore, all other ap

Introduction for new PhD students at SUND November 2026 2 ECTS
Graduate School of Health and Medical Sciences at University of Copenhagen

Enrolment guidelines ”Special rules apply for this course” 1. The course is mandatory for all new PhD students at SUND from 2025. 2. This course is only for PhD students enrolled at SUND in the first six months of their enrollment. Therefore, all other ap

Introduction for new PhD students at SUND December 2026 2 ECTS
Graduate School of Health and Medical Sciences at University of Copenhagen

Enrolment guidelines ”Special rules apply for this course” 1. The course is mandatory for all new PhD students at SUND from 2025. 2. This course is only for PhD students enrolled at SUND in the first six months of their enrollment. Therefore, all other ap

Introduction for new PhD students at SUND August 2026 2 ECTS
Graduate School of Health and Medical Sciences at University of Copenhagen

Enrolment guidelines ”Special rules apply for this course” 1. The course is mandatory for all new PhD students at SUND from 2025. 2. This course is only for PhD students enrolled at SUND in the first six months of their enrollment. Therefore, all other ap

Introduction for new PhD students at SUND September 2026 2 ECTS
Graduate School of Health and Medical Sciences at University of Copenhagen

Enrolment guidelines ”Special rules apply for this course” 1. The course is mandatory for all new PhD students at SUND from 2025. 2. This course is only for PhD students enrolled at SUND in the first six months of their enrollment. Therefore, all other ap

Introduction for new PhD students at SUND September 2026 2 ECTS
Graduate School of Health and Medical Sciences at University of Copenhagen

Enrolment guidelines ”Special rules apply for this course” 1. The course is mandatory for all new PhD students at SUND from 2025. 2. This course is only for PhD students enrolled at SUND in the first six months of their enrollment. Therefore, all other ap

Introduction to advanced Bayesian adaptive trials: design an... November 2026 1,3 ECTS
Graduate School of Health and Medical Sciences at University of Copenhagen

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,

Introduction to AI and Machine Learning in Image Segmentatio... Roskilde - 3 ECTS
Graduate School of Technical Sciences at Aarhus University

Objectives of the Course:The course aims to provide the PhD students with foundational knowledge and practical skills in using AI and machine learning techniques for image segmentation, with a focus on applications in various fields.Learning Outcomes and

Introduction to applied statistics and R for PhD students Kgs. Lyngby - 5 ECTS
DTU Department of Informatics and Mathematical Modeling

General course objectives:Make the participants able to perform a standard statistical analysis of their own data and relate the results to the practical application. The participants will be able to carry out statistical analyses using the statistical pa