Applying PhD course in Bisyn Lab.

GS-YI 2018.08.24 01:49 조회 수 : 95

Admission is not guaranteed by individual Professor - need to pass the official KAIST admission process.  

 

Necessary background to be a PhD student majoring BI in BiSyn lab.  

1. Solid study & practice experience (courses) of probability, mathematical statistics, R programming language, and, DB sql language

2. Bioinformatics related study experience (courses) with programming practice & term project (should understand key BI  and Omics concept clearly), 

3. Bioinformatics research experience (can be medical or chemical informatics depending on what she/he will specify on)  

4. Computer Program Development experience with at least one high-level programming language (can be Java or Python)

5. Solid study & practice experience of data science (can be machine learning, data mining, or artificial intelligence)  

 

For PhD student majoring BT field in BiSyn lab, above 1~3 should be satisfied (to analyze BI results and validate them with BT experiments).

 

Requisites (Necessary Background) in detail.

1) To major pure BI (e.g., candidates major in CS, Math, Physics and all other Engineering fields)

  Essential Data-Science Knowledge

   -MS: Prob & Statistics, Bioinformatics (including programming practice & term project, can be medical Info or chem info)

   -PhD: MS requisite + Algorithm, Machine Learning (or AI, Data/Text Mining)

  Essential Bio-Science Knowledge 

   -MS/PhD: Cell biology, Biochemistry (or Molecular Genetics).

  Essential Practical Experience

   -MS: R or Matlab programming, DB sql programming, Project experience with any of Java, Phyton or C++

   -PhD: MS requisite + Journal/Conference paper or equivalent MS thesis

  +++++++++++++++++++++++++++++++                          

  Suggested Knowldege

   -MS: Functional Genomics (Proteomics), Pharmaceutical Chem. Data Structure. Discrete Math, Linear Algebra, Differential Eq. Signals & Systems

   -PhD: MS suggestion + Mathematical Statistics, Database, Network, Numerical Analysis

  Suggested Practice Experience

   -MS: Construction of Oracle DB, Web Interface, Linux system 

   -PhD: MS suggestion + Parallel computing, Big-data computing, Molecular Modeling

 

2) To major BI-BT (e.g., candidates major in Bio, Chemistry, Pharmacology, Agriculture, Food fields)

  Essential Data-Science Knowledge

   -MS: Same as pure BI

   -PhD: Same as MS

  Essential Bio-Science Knowledge 

   -MS: Same as pure BI + Organic Chemistry

   -PhD: Same as pure BI + Functional Genomics (Proteomics)

  Essential Practical Experience

   -MS: Same as pure BI + Any bio or chem experiments including data analysis.

   -PhD: MS requisite + Journal/Conference paper or equivalent MS thesis

 +++++++++++++++++++++++++++++++

  Suggested Knowldege

   -MS: Same as pure BI

   -PhD: Same as pure BI

  Suggested Practical Experience

   -MS: Same as Pure BI + Cell culture

   -PhD: MS suggestion + Omics experiment & data analysis, Molecular probe construction/detection, Genetic engineering, Confocal/HCS

번호 제목 글쓴이 날짜 조회 수
공지 학생 및 연구원 지원자 가이드 bisyn 2017.07.29 206
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