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Grant: Alexander Graham Bell Canada Graduate Scholarships - Doctoral

University of Lethbridge

$38,333.33

Addressing a 30-year gap in cognition ability and aging

EF 2024-25

Résumé
Cognitive Neuroscience, Spatial Cognition, Cognitive Aging, Sex Difference, Brain Imaging, Electroencelphalography, Machine Learning
Programme
Alexander Graham Bell Canada Graduate Scholarships - Doctoral
Emplacement
Alberta, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
589821-2024
Name nom
Aguilar Ramirez, Daniela Eugenia DE
Department département
Neuroscience
Organization id
12
Institution établissement
University of Lethbridge
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2024
Award amount
38333.33
Program id
CGSD
Program name en
Alexander Graham Bell Canada Graduate Scholarships - Doctoral
Program name fr
Bourses d'études supérieures du Canada Alexander-Graham-Bell - doctorat
Group en
RESEARCH TRAINING AND TALENT DEVELOPMENT
Group fr
FORMATION EN RECHERCHE ET PERFECTIONNEMENT DES COM
Committee code
196
Committee name en
S&F Selection Committee for Life Sciences B
Committee name fr
Comité de sélection des bourses en Sciences de la vie B
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Non disponible
Research subject en
Not available
Research subject fr
Non disponible
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Addressing a 30-year gap in cognition ability and aging
Application summary
Cognitive Neuroscience, Spatial Cognition, Cognitive Aging, Sex Difference, Brain Imaging, Electroencelphalography, Machine Learning