Category View Graduate School of Neural & Behavioural Sciences
General
Title of the programme     Graduate School of Neural & Behavioural Sciences

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    Graduate School of Neural & Behavioural Sciences
       
Organisation     University of Tübingen
Cooperation partners     Max Institute for Biological Cybernetics, Tübingen
Country     Germany
City     Tuebingen
Main fields of study     Neuroscience
Year of programme start     1999
Regional attractions     Small, familiar town in warm SW-Germany
Further details     Our aim is to provide students with state-of-the-art practical and theoretical training in sensory and motor systems neuroscience, cognitive and computational neuroscience, neurophysiology, neuropsychology and neuroprosthetics. Of particular importance are brain imaging methods, both with respect to their physiological and technological basis and their application in neurology, psychiatry and neurocognition.
Admission
Number of intake rounds/year     No special date
Deadline for 1st intake (month/day)    
Deadline for 2nd intake (if any)    
Number of admissions     No special number
Number of applications per year    
Bachelors can apply     No ( or with very outstanding grades)
Degrees required     Master of Science (or German Diploma) in biology, biomedical science, cognitive science or psychology, computer science, engineering, physics, pharmacology, or a related field
Selection criteria     Performance record, motivation for scientific research, letter of recommendation
Structure
Scheduled programme duration     3 years
Total PhD students/faculty    
International PhD students     50 %
Lab rotation    
Number of research groups    
Industry collaborations    
Cumulative dissertation     Optional
Compulsory defense of thesis     Yes
Supervision    
Total annual (tuition) fees    
Monthly salary or scholarship    
Courses
Contents of teaching     Sensory and motor systems neuroscience, cognitive and computational neuroscience, neurophysiology, neuropsychology, neuroprosthetics, brain imaging methods
Course hours per week on average    
PhD students engage in teaching    
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