A postdoctoral fellowship in Social Anthropology is available in the convergence environment Cargo Crime: (Il)Licit Seaborne Transport and the Energy Transition. Cargo Crime focuses on the emerging ...

Statistical analysis is becoming more and more complex, both because of bigger data and many types of data and because of the use of more advanced methods and models. This course deals with numerical ...

The course aims to provide students with a comprehensive insight into the molecular mechanisms underlying cancer development and into cancer treatment. Among the topics covered are tumor viruses, ...

Sustainable development is the red thread throughout this course. The course builds on the principle of sustainable development and analyses how it is reflected in main international treaties on the ...

be familiar with different embodied perspectives on the experience of music. have acquired terminology to describe different kinds of music-related body motion by both performers and perceivers. be ...

The course provides insight on how to formulate a problem into statistical language, how to build a statistical model, how to analyse data and how to validate results. Regession methods (that is ...

Causal inference is the task of drawing conclusions from data about the effects of treatments and other type of interventions. In epidemiology and clinical research, as well as in many other fields, ...

The course introduces a variety of central algorithms and methods essential for studies of statistical data analysis and machine learning. The course is project-based and through the various projects, ...

The aim of the course is to make the participants familiar with advanced statistical regression methods applied to clinical research and epidemiology. This will give the participants a better basis ...

The core of the subject is a major programming task to be solved in small groups.Through the assignment, you will get practical training in programming and gain experience with how object-oriented ...

The course is designed to emphasize hydrological concepts while providing useful skills for using well-known hydrological models in simulating hydrological processes. The course is divided into two ...

This course gives a basic introduction to machine learning (ML) and artificial intelligence (AI). Through an algorithmic approach, the students are given a practical understanding of the methods being ...