Universität Wien

Univ.-Prof. Dr. Frank Scharnowski, MSc

Business Card: vCard
Research Profile: u:cris

Assignments

Affiliations

Teaching (iCal)

2024S
200020 VO Statistics I
200113 SE Advanced Seminar: Mind and Brain - Mechanisms of exposure therapy as a dynamic feedback system
540007 SE Seminar for Doctoral Students - Trends in cognitive and affective neuroscience
2023W
200142 SE Advanced Seminar: Mind and Brain - Clinical and scientific applications of neurofeedback
200145 SE Seminar in Applied Psychology: Mind and Brain - Mechanisms of exposure therapy as a dynamic feedback system
540007 SE Seminar for Doctoral Students - Trends in cognitive and affective neuroscience
2023S
200020 VO Statistics I
200113 SE Advanced Seminar: Mind and Brain - Clinical and scientific applications of neurofeedback
540007 SE Seminar for Doctoral Students - Trends in cognitive and affective neuroscience
2022W
200142 SE Advanced Seminar: Mind and Brain - Clinical and scientific applications of neurofeedback
200145 SE Anwendungsseminar: Geist und Gehirn - Mechanisms of exposure therapy as a dynamic feedback system
540007 SE Seminar for Doctoral Students - Trends in cognitive and affective neuroscience
2022S
200113 SE Advanced Seminar: Mind and Brain - Mechanisms of exposure therapy as a dynamic feedback system
2021W
200142 SE Advanced Seminar: Mind and Brain - Mechanisms of exposure therapy as a dynamic feedback system
200232 SE Advanced Seminar: Mind and Brain - Expositionstherapie als dynamisches Feedback-System
2021S
200089 SE Advanced Seminar: Mind and Brain - Mechanisms of exposure therapy as a dynamic feedback system
540002 SE Seminar for Doctoral Students - Changing brain and behavior with closed-loop feedback systems
2020W
200142 SE Advanced Seminar: Mind and Brain - Mechanisms of exposure therapy as a dynamic feedback system
540009 SE Seminar for Doctoral Students - Mind & Brain
2020S
2019W
200139 SE Advanced Seminar: Mind and Brain - Mechanisms of exposure therapy as a dynamic feedback system
460003 SE Dissertantenseminar - Grundlagen
2019S

Last modified: Th 01.02.2024 00:01