The course is designed to provide students and researchers with a solid understanding of functional Near-Infrared Spectroscopy (fNIRS) as a relatively new tool to measure brain activity and will emphasize both theoretical knowledge and practical skills of fNIRS. The students will gain expertise in the underlying principles of fNIRS, its instrumentation, and various analytical approaches. The primary goal is to empower students with the knowledge of this additional neuroimaging tool to design and execute advanced experiments, interpret fNIRS data effectively, and contribute to cutting-edge research in neuroscience and related fields.

The main purpose of the course is to provide the students with a solid understanding of the tools available to analyze brain structural data measured with structural magnetic resonance imaging (sMRI). The students will develop the ability to critically review results provided by different methods, to select the most adequate tools and experimental designs to answer different questions and to compare their relative advantages.

Participants receive basic and advanced knowledge of neurophysiology and information about relevant methods (e.g. evoked potentials, extra- / intracellular, patch clamp recordings). Properties of ion channels as well as cellular and network
properties of selected model systems (leech, goldfish, hippocampus) will be discussed.

This course is a basic course on advanced fluorescence microscopy imaging and correlation spectroscopy techniques for quantitative characterization of molecular transport and interactions in live cells. The purpose of the course is to give an introduction of the underlying physicochemical principles, hands-on training and an overview of applications of these specialized techniques in biomedical research. At the end of the course, the student will have hands-on experience with live-cell imaging and specialized fluorescence microscopy and correlation spectroscopy techniques. The course is suitable for doctoral students lacking training in mathematics, physics, or optical engineering who want to apply these techniques in their research.

The course reviews central concepts and topical research in stress, sleep and health. In particular, it is focused on how acute stress, chronic stress, diurnal rhythm and sleep problems affect and interact physiological systems such as the immune system, the endocrine system, cognitive processes and possible consequences for health. The course encompasses neuroscientific and other biological perspectives, and describes interventions to improve stress- and sleep related symptoms. Theoretical models and methods to understand and study stress- and sleep related processes will be applied. 

The course will be provided fully online, partly via Zoom but also taking advantage of recent digital tools such as Gather; and using Canvas as the learning platform in-between in-class sessions.

Our MATLAB-based comprehensive course is designed to equip you with the essential knowledge and practical skills to delve into biomedical image processing, specifically tailored for biological/medical and neuroimaging applications using MATLAB.

Selection will be based on:
1) the relevance of the course syllabus for the applicant's doctoral project (according to written motivation),
2) start date of doctoral studies (priority given to earlier start date)

The course provides a deeper understanding of neurodegenerative disorders from a basic to a clinical perspective. It consist of a combination of lectures, lab demonstrations and group dicussions led by experts in the field. It covers cellular and molecular pathophysiological mechanisms of neurodegenerative disorders and the mechanisms of current and/or possible future treatments. We will discuss similarities and differences between the different neurodegenerative diseases. The students will also be introduced to some powerful techniques that can be used for studying neurodegeneration, subcellular localization, and omics approaches. We will discuss advantages and drawbacks of important methods and models for studying mechanisms behind neurodegenerative disorders

SELECTION

Selection will be based on:  
1) the relevance of the course syllabus for the applicant’s doctoral project (according to written motivation). 
2) start date of doctoral studies (priority given to earlier start date).