Graduate Students Position (PhD) in South Korea, in Genomics & Digital Health Laboratory (Won Lab) at Sungkyunkwan University SKKU
Graduate Students Position in Genomics & Digital Health Laboratory (Won Lab) Sungkyunkwan University
PhD or MS-PhD
No. of Position(s)
Genomics & Digital Health
According to SKKU regulations
Research Center for Future Medicine
Seoul, South Korea
PROF. WON’S OFFICE
B4-125, Cancer Center, Samsung Medical Center, 81, Ilwon-ro, Gangnam-gu, Seoul, South Korea.
Research Center for Future Medicine, 4F Samsung Life Insurance Co. Bldg, 115, Ilwon-ro, Gangnam-gu, Seoul, South Korea.
A MSc degree in related fields
Related to research areas
How to Apply?
- Email submission (Click apply now button to send an email with the necessary documents)
- If you are interested in PhD or MS-PhD courses in our lab, please contact us 6 months before application by sending a merged PDF of your following documents
- Cover letter
- Academic record (transcript) of your undergraduate
Please note ‘[SAIHST graduate]’ in the subject line.
About Won Lab (Genomics & Digital Health Laboratory)
Our main interests are human genomics and digital health informatics
Specifically, we, as a team, pursue successful combinations of advanced informatics skills and biomedical developments to understand the genetic bases of human disease and improve healthcare. We welcome applications from prospective students and postdocs. We seek highly motivated and creative scientists to join us.
Our Research Interests
Medical & population genomics
Since the Human Genome Project, genome-wide association studies (GWAS) have been successful in identifying common genetic variants that are associated with diverse human diseases or traits. However, only a small portion of heritability of the diseases or traits has been explained by the discovered common variants. Among many possible factors for ‘missing heritability’, rare variants with large effects are expected to make a major contribution to the missing heritability.
Our lab identifies disease-causing genes and treatment targets by utilizing advanced genomic technology (next-generation sequencing and statistical approaches for rare variants).
Digital health informatics
Future of medicine is summarized as P4 medicine, a discipline that is predictive, personalized, preventive and participatory. P4 medicine will improve healthcare substantially and enable precision medicine. Recent advances in mobile and wearable devices and genomic technology generate unprecedentedly huge and digitized health information. Not only academic but also industrial organizations are currently working on digital healthcare. Digital healthcare informatics encompass genetic, environmental and behavioral components of personal health. Genomic and clinical data collected in Samsung Medical Center can be also utilized.
Our lab members with various expertise collaborate together towards this goal.
Machine learning, Artificial intelligence & Big data analysis
Data-driven medicine is a key aspect of future medicine. Machine learning techniques are very useful in generating data-driven hypotheses (ex., identifying unknown causal factors for disease) and prediction models of diagnosis and prognosis. In particular, deep neural network can be applied to unstructured data such as medical images, DNA sequences, etc.
Our lab uses statistical and machine learning methods to address various biomedical questions.
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