PhD Systems Biology
Course Overview
This course in Systems Biology provides an integrative, multi-level approach to understanding complex biological systems, leveraging cutting-edge post-genomic technologies. Students will engage in interdisciplinary research that combines big data analysis with computational modeling to derive higher-level insights into how organisms function.
Key Program Highlights
- Hands-on experience with advanced 'omics technologies (genomics, proteomics, metabolomics) in a well-equipped facility
- Interdisciplinary training combining molecular biology, computational modeling, and bioinformatics
- Opportunities for international research placements and industry networking with pharmaceutical and biotech sectors
- Research projects focused on pressing topics like circadian rhythms, cellular homeostasis, and optimizing protein expression
- Development of highly sought-after skills in analyzing and integrating large, complex biological datasets
Tuition fee
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Start date
Duration
3 years
4 years
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
4 - 6 weeks after your application is submitted
Backlogs accepted
This course allows a maximum of 4 backlogs
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Course Overview
This course in Systems Biology provides an integrative, multi-level approach to understanding complex biological systems, leveraging cutting-edge post-genomic technologies. Students will engage in interdisciplinary research that combines big data analysis with computational modeling to derive higher-level insights into how organisms function.
Key Program Highlights
- Hands-on experience with advanced 'omics technologies (genomics, proteomics, metabolomics) in a well-equipped facility
- Interdisciplinary training combining molecular biology, computational modeling, and bioinformatics
- Opportunities for international research placements and industry networking with pharmaceutical and biotech sectors
- Research projects focused on pressing topics like circadian rhythms, cellular homeostasis, and optimizing protein expression
- Development of highly sought-after skills in analyzing and integrating large, complex biological datasets
Requirements
The requirements may vary based on your selected study options.
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Tuition fee
Apply by
Start date
Duration
3 years
4 years
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
4 - 6 weeks after your application is submitted
Backlogs accepted
This course allows a maximum of 4 backlogs
