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SERVICE DESCRIPTION | Final Project Guidance (TA) for undergraduate students can be utilized by final-year students. Final Project topics offered in computing for life and health sciences include activities: data processing, advanced analysis, simulation and modeling, statistical…
- Kst Cibinong (soekarno)
Final Project Guidance (TA) for undergraduate students can be utilized by final-year students. Final Project topics offered in computing for life and health sciences include activities: data processing, advanced analysis, simulation and modeling, statistical approaches, and tools development. The topic of the Final Project is an agreement between the supervisor from BRIN and the Campus.
Bioinformatics & Computational Biology research related.
Research focus:
1. Bioinformatics
- Omics research-related
- NGS & high throughput methods
- Bio-High Performance Computing (Bio-HPC)
- Microarray data analysis
- Translational & clinical bioinformatics
- Bioinformatics in biodiversity & epidemiology
- Precision medicine
- AI, machine learning, and algorithm in bioinformatics
2. Computational biology
- Computational biology
- Systems biology & medicine
- Network biology & pharmacology
- Synthetic biology
- Boolean network model
- Mathematical modeling in biology
- Molecular docking & dynamics
- In silico drug discovery
- Precision medicine
- AI, machine learning, and algorithms in computational biology
Application Requirements:
Bioinformatics & Computational Biology research related.
Research focus:
1. Bioinformatics
- Omics research-related
- NGS & high throughput methods
- Bio-High Performance Computing (Bio-HPC)
- Microarray data analysis
- Translational & clinical bioinformatics
- Bioinformatics in biodiversity & epidemiology
- Precision medicine
- AI, machine learning, and algorithm in bioinformatics
2. Computational biology
- Computational biology
- Systems biology & medicine
- Network biology & pharmacology
- Synthetic biology
- Boolean network model
- Mathematical modeling in biology
- Molecular docking & dynamics
- In silico drug discovery
- Precision medicine
- AI, machine learning, and algorithms in computational biology
Application Requirements:
- Letter of Introduction
- File Data Transkrip
- Photo
- Identity Card
- CV
- Proposal
- Agreement