PhD Courses in Denmark

Objectives of the course:The course gives an overview of statistical methods used in data treatment. The purpose is to give a better understanding of the limitations in standard data analysis procedures and to introduce more advanced techniques used e.g.

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

Language: EnglishTime of year: November 2-6, 2026Language: English Course level: PhD; Master’s level holders with strong interest are also welcomed No. of contact hours/hours in total incl. preparation, assignment(s): 125 ho

Objectives of the courseThe objectives are to give the students a thorough understanding of antimicrobials and antimicrobial resistance, the significance of AMR in a one-health perspective, surveillance programs, and to give a practical training of measur

Date: Sept 14-18, 2026 OrganizationEach day will cover a number of lectures and hands on exercises with measurement gear or computer models. There will also be a possibility of individual consultancy concerning experimental problems. Object

This course aims to impart knowledge about and give participants an introduction to and practical experience using artificial intelligence (AI) tools to enhance their scientific writing processes.

Objectives of the course: Over the past decades, rapid advances in methods for analysing microbial communities based on high through-put sequencing technologies have revolutionized the way we observe, quantify, and understand plant-microbe interactio

The aim of this course is to impart knowledge about and give course participants an introduction to academic text production in English within the field of natural sciences and technical sciences, applying textual and discourse strategies and methodologie

The aim of the course is to introduce the PhD student to basic tasks, methods and evaluation procedures in data science, using Python and its libraries and environments.

Objectives of the course:This course describes structured decision-making for addressing complex problems in conservation and natural resource management. Students will learn how to clearly frame decision problems, define objectives, and select analy