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Career Advancement Programme in Systems Biology for Drug Development

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๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to Systems Biology for Drug Development
  • Network Biology and Drug Target Identification
  • Systems Pharmacology and Drug Response Modeling
  • High-Throughput Screening and Data Analysis in Systems Biology
  • Computational Methods in Systems Biology for Drug Discovery
  • Systems Biology Approaches to Personalized Medicine
  • Drug Metabolism and Pharmacokinetics (DMPK) Modeling
  • Case Studies in Systems Biology-driven Drug Development

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role in Systems Biology (Drug Development) Description Systems Biologist (Drug Discovery) Develops and applies computational models to understand biological systems, supporting early-stage drug discovery.

High demand for strong programming skills.

Bioinformatician (Pharmaceutical Data Science) Analyzes large biological datasets to identify drug targets and predict drug efficacy.

Requires expertise in statistical analysis and machine learning.

Computational Biologist (Drug Design) Uses computational methods to design and optimize drug molecules.

In-depth knowledge of molecular modeling and simulation is essential.

Data Scientist (Pharmacogenomics) Applies data science techniques to study the relationship between genes and drug response, enabling personalized medicine.

Requires proficiency in R or Python.

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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CAREER ADVANCEMENT PROGRAMME IN SYSTEMS BIOLOGY FOR DRUG DEVELOPMENT
์—๊ฒŒ ์ˆ˜์—ฌ๋จ
ํ•™์Šต์ž ์ด๋ฆ„
์—์„œ ํ”„๋กœ๊ทธ๋žจ์„ ์™„๋ฃŒํ•œ ์‚ฌ๋žŒ
London School of International Business (LSIB)
์ˆ˜์—ฌ์ผ
05 May 2025
๋ธ”๋ก์ฒด์ธ ID: s-1-a-2-m-3-p-4-l-5-e
์ด ์ž๊ฒฉ์ฆ์„ LinkedIn ํ”„๋กœํ•„, ์ด๋ ฅ์„œ ๋˜๋Š” CV์— ์ถ”๊ฐ€ํ•˜์„ธ์š”. ์†Œ์…œ ๋ฏธ๋””์–ด์™€ ์„ฑ๊ณผ ํ‰๊ฐ€์—์„œ ๊ณต์œ ํ•˜์„ธ์š”.
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