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Welcome students!
We are looking for talented and committed individuals who will work with us in CiRA. Our laboratory has two fields, computational biology and wet experiments. Please see research overview for more information.
Please feel free to contact us if you are interested in our research.
Research topics
①Spatio-temporal analysis of cell differentiations to construct fundamental theories
②Design of 3D tissues derived from iPS cells by single-cell analysis
③Development of human cell database and its medical application
④Establishment of drug screening system for cell therapy based on artificial intelligence
Recruitment
Our laboratory hosts graduate students enrolled in Graduate course, Medicine and Medical science, Kyoto University.
For students who wish to apply for our laboratory, first you must pass the entrance examination. Please review guidelines and important dates regarding the eligibility screening and the admission examinations. (click here.)
Procedure for acceptance of graduate students at CiRA is here.
We have three types of opportunities available. (click here.)
1. Fellowship Program of Development of Young Researchers
2. Fellowship Program of Promotion of Internationalization of Research
3. International Research Exchange Support (for sabbatical leave)
We are currently looking for a staff to register stem cell line information to our database! Click here (Japanese only) for more information. Please feel free to contact us for the detail or any questions.
There are CiRA Research Internship Programs:
Undergraduate and graduate students
Research themes of former internship students
(2019)
・In silico 3D tissue reconstruction model for spatial discriminator genes identification by enhanced self-organizing map (SOM) clustering
Kuan-Chun, Lan
・Gene network analysis of chronic autoimmune diseases by using RX-TAOgen
Yoki Tsuda
・Identification of the Whole Mouse Cell Types
Susumu Sawada
・Evaluation of Cell Stability using Hopfield Network Energy
Shiho Murata
(2018)
・Estimating the number of human cell types by independent component analysis
Susumu Sawada
・Improvements of 3D reconstruction based on kernel SOM algorithm in mid-gastrula mouse embryo
Haruka Takaoka
・Improving cell type classification using differential expression analysis and module detection methods
Emma Goune
(2017)
・Improving models of cell type domains with machine learning and scRNA-Seq
Anna Sappington
We also have a few postdoc positions for young researchers.
For the eligibility, please click here.
For the details, please contact us.
CONTACT
- Address
- 53 Kawaharacho, Shogoin, Sakyo-ku, Kyoto
606-8507, Japan - fujibuchi-g[at]cira.kyoto-u.ac.jp
(change [at] to @.) - Dept. of Life Science Frontiers
Center for iPS Cell Research and Application (CiRA)
Kyoto University
Secretary, Professor Fujibuchi Laboratory
Kayo Obata