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Career Advancement Programme in Computational ADME

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

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์–ด๋””์„œ๋“  ํ•™์Šต

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๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Advanced Computational Chemistry Methods in ADME
  • Absorption, Distribution, Metabolism, and Excretion (ADME) Simulation Techniques
  • Physiologically Based Pharmacokinetic (PBPK) Modeling and Simulation
  • Quantitative Structure-Activity Relationship (QSAR) Modeling for ADME Prediction
  • In Silico ADMET Prediction and its applications in Drug Discovery
  • Machine Learning Applications in ADME Prediction
  • Data Analysis and Visualization for ADME Studies
  • Case Studies in Computational ADME: Successes and Challenges

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role (Computational ADME) Description Senior Computational Chemist (ADME/Drug Metabolism) Lead projects, utilizing advanced computational techniques to predict ADME properties, impacting drug discovery.

ADME Scientist (In Silico Modeling) Employ in silico models and simulations to assess absorption, distribution, metabolism, and excretion of drug candidates.

Computational Biologist (Pharmacokinetics) Focus on PK modeling and simulation, supporting the development of innovative drug delivery systems.

Data Scientist (ADME/Pharmacodynamics) Analyze large datasets, developing predictive models for ADME and pharmacodynamics properties.

Software Engineer (ADME Simulation Tools) Develop and maintain software tools for ADME simulations and data analysis.

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์™œ ์‚ฌ๋žŒ๋“ค์ด ๊ฒฝ๋ ฅ์„ ์œ„ํ•ด ์šฐ๋ฆฌ๋ฅผ ์„ ํƒํ•˜๋Š”๊ฐ€

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๊ฒฝ๋ ฅ ์ธ์ฆ์„œ ํš๋“

์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CAREER ADVANCEMENT PROGRAMME IN COMPUTATIONAL ADME
์—๊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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