PhD Courses in Denmark

The appropriate and efficient statistical analysis of data collected in medicine affords often advanced techniques which are only covered on more elementary level in introductory statistical courses.This course aims at medical scientists who probably alre

Main topics covered:Artificial intelligence - what is it?Design of studies using AI.Evaluation of classification and prediction using AI.The patient and AI.

This 3-day course aims at introducing to biomedical researchers a foundational understanding of genomics, epigenomics and transcriptomics, laboratory techniques, and motivating practical applications in disease and health researches. 

The aim is to give the students in debt knowledge about how to argue critically and reflect on how Ricoeurs philosophy forms the framework of a phenomenologic-hermeneutical approach and how it provides a structured analysis and interpretation process of q

This course gives an introduction to the modern analysis in genetic studies of twins. The students will be able to apply basic methods and biometric models using the statistical package Mx. The students learn how to investigate genetic and environmental i

The participants will achieve knowledge about the assessment of (and adaptive plasticity) in: mechanical muscle function, neuronal function, muscle morphology and architecture, myofibre growth and atrophy factors, apoptosis signalling, myogenic satellite

R and the Tidyverse is one of the world's fastest-growing and most popular data science platforms. This course will teach you to use R and the Tidyverse to import, clean, transform, analyze, and communicate your data using high-quality tables, plots, and

The course will provide an introduction to the statistical software R for people with a basic knowledge of statistical concepts. R has become the lingua franca in statistics and many applied fields. The flexibility and large number of user-contributed pac

The course will provide an introduction to the statistical software R for people with a basic knowledge of statistical concepts. R has become the lingua franca in statistics and many applied fields. The flexibility and large number of user-contributed pac

The student is introduced to the basic statistical techniques applied to biological and medical examples. Topics covered are: Descriptive statistics, data types, elementary probability concepts, statistical distributions, comparison of two samples by para