Canada Spends Logo

Explore our Budget 2026 analysis

Grant: Postgraduate Scholarships - Doctoral

University of Oxford

$21,000.00

Statistical Methods for Dynamic Genomic Profiling and Phenotype Modelling

FY 2019-20

Summary
Applied Statistics, Dynamic Genomic Profiling, Progression Modelling, Omic Data Integration, Machine Learning, Medical Informatics, UK Biobank & TWINS UK, Genetics of Common Disease, Chronomics, Genome Wide Association Studies
Program
Postgraduate Scholarships - Doctoral
Location
UNITED KINGDOM
Recipient Type
Not-for-profit organization or charity
Type
Grant
Source
NSERC's Awards Data

As published

Application id
502208-2017
Name nom
Abdalla, Moustafa
Department département
Nuffield Department of Medicine
Organization id
351
Institution établissement
University of Oxford
Province en
NA
Province fr
NA
Country en
UNITED KINGDOM
Country fr
ROYAUME-UNI
Fiscal year exercice financier
2019
Competition year année de concours
2017
Award amount
21000
Program id
PGSD
Program name en
Postgraduate Scholarships - Doctoral
Program name fr
Bourses d'études supérieures - doctorat
Group en
RESEARCH TRAINING AND TALENT DEVELOPMENT
Group fr
FORMATION EN RECHERCHE ET PERFECTIONNEMENT DES COM
Committee code
187
Committee name en
Schol/Fellow: Cell/Molec Biol
Committee name fr
Bourses en bio cell/moléc
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
5000
Research subject group en
Genetics
Research subject group fr
Génétique
Research subject en
Genetics
Research subject fr
Génétique
Installment
inst:6 - 7
Partie
6
Nb partie
7
Application title
Statistical Methods for Dynamic Genomic Profiling and Phenotype Modelling
Keyword
NSERC
Application summary
Applied Statistics, Dynamic Genomic Profiling, Progression Modelling, Omic Data Integration, Machine Learning, Medical Informatics, UK Biobank & TWINS UK, Genetics of Common Disease, Chronomics, Genome Wide Association Studies