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Career Advancement Programme in Functional Genomics Data Analysis

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๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to Functional Genomics and High-Throughput Data
  • Statistical Methods for Functional Genomics Data Analysis (including linear models, ANOVA)
  • Genomics Data Wrangling and Preprocessing (using R/Bioconductor)
  • Functional Genomics Data Visualization and Interpretation
  • Differential Gene Expression Analysis: RNA-Seq Data Analysis
  • Advanced Functional Genomics Analysis: Pathway and Network Analysis
  • Machine Learning Methods in Functional Genomics
  • Reproducible Research and Data Management in Functional Genomics
  • Case Studies in Functional Genomics Data Analysis

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role (Functional Genomics Data Analysis) Description Bioinformatics Scientist (Genomics, Data Analysis) Develops and applies computational methods to analyze large-scale genomics datasets, contributing to advancements in drug discovery and disease understanding.

Genomics Data Analyst (Functional Genomics, Bioinformatics) Analyzes functional genomics data, identifying patterns and insights relevant to biological processes and disease mechanisms.

High demand for statistical modeling skills.

Biostatistician (Genomics, Statistical Modeling) Applies statistical methods to analyze and interpret genomic data, designing experiments and drawing meaningful conclusions from complex datasets.

Crucial for clinical trials.

Research Scientist (Functional Genomics, Data Science) Conducts independent research using functional genomics data analysis techniques, contributing to publications and grant applications.

Requires strong problem-solving skills.

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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CAREER ADVANCEMENT PROGRAMME IN FUNCTIONAL GENOMICS DATA ANALYSIS
์—๊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
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