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
684 search results

Page 14 of 69

Course title City Start date Credits
Clinical and pre-clinical perspectives of vaccine developmen... September 2025 2,8 ECTS
Graduate School of Health and Medical Sciences at University of Copenhagen

Enrolment guidelines This is a specialised course. This means that 80% of the seats are reserved to PhD students enrolled at the Faculty of Health and Medical Sciences at UCPH and 20% og the seats are reserved to PhD students from other Danish Universitie

Clinical assessment of insulin resistance and other metaboli... Aarhus October 2025 1,4 ECTS
Graduate School of Health Sciences at Aarhus University

Insulin resistance plays a pivotal factor in the pathogenesis behind dysmetabolic conditions like diabetes and cardiovascular disease. The aim of this course is to introduce state of the art understanding of various aspects of human insulin resistance, an

Clinical Cancer Research November 2025 4,3 ECTS
Graduate School of Health and Medical Sciences at University of Copenhagen

Enrolment guidelines Seats for this course are 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, you will be placed on the wai

Clinical cancer research – from laboratory to bedside 2024 Skørping October 2025 2,25 ECTS
Doctoral School in Medicine, Biomedical Science and Technology at Aalborg University

Welcome to clinical cancer research – from laboratory to bedsideProgram: BDescription: This PhD course is offered by the Doctoral School of Medicine, Biomedical Science and Technology, Aalborg University and Clinical Cancer Research Center

Clinical Research Method (KliniskForskningsmetode) November 2025 2,3 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,

Clinical Science Labarotory and translational medicine - Int... Aalborg September 2025 1,5 ECTS
Doctoral School in Medicine, Biomedical Science and Technology at Aalborg University

Welcome to Clinical Science Labarotory and translational medicine - Intro CoursePhD Programme: ***Mandatory Course**** for Clinical Science, Laboratory and Translational Medicine (CSLTM) Description: An introduction to being a Ph.

Communication and presentation in the academic context December 2025 1,5 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,

Components of causal inference with focus on assumptions and... Gistrup November 2025 2,5 ECTS
Doctoral School in Medicine, Biomedical Science and Technology at Aalborg University

Welcome to Components of causal inference with focus on assumptions and confounding control (2025)Program: Epidemiology & Biostatistics ***mandatory course **** Description: Purpose: You already know that establishing a c

Computational Methods in Chemistry (GL. NAT) Copenhagen Ø - 15 ECTS
PhD School at the Faculty of SCIENCE at University of Copenhagen

Presentation of theory and methods for modelling chemical phenonema. Different computational strategies are presented, discussed and evaluated. Research projects are undertaken. Please contact Kurt V. Mikkelsen for further information.

Computer-based Introduction to Data Analysis for Physics, Na... Kgs. Lyngby - 5 ECTS
DTU Department of Health Technology

General course objectives:At the end of this course, participants should be able to: identify which elementary kinds of random behavior are likely to be encountered in a given situation and know how to decide if it is the case and to use it in data analys