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Career Advancement Programme in Transcriptomics Analysis

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

You will gain hands-on experience with essential bioinformatics tools, enhancing your computational biology skills. Graduates are well-prepared for high-demand roles in pharmaceuticals and genomics research. The curriculum emphasizes practical application, ensuring you can analyze complex datasets with confidence. By completing the Career Advancement Programme in Transcriptomics Analysis, you unlock significant career prospects and become a sought-after expert in the field.

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์–ด๋””์„œ๋“  ํ•™์Šต

๊ณต์œ  ๊ฐ€๋Šฅํ•œ ์ธ์ฆ์„œ

LinkedIn ํ”„๋กœํ•„์— ์ถ”๊ฐ€

์™„๋ฃŒ๊นŒ์ง€ 2๊ฐœ์›”

์ฃผ 2-3์‹œ๊ฐ„

์–ธ์ œ๋“  ์‹œ์ž‘

๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to Transcriptomics and Next-Generation Sequencing
  • RNA Sequencing Data Analysis & Processing: Quality Control and Alignment
  • Differential Gene Expression Analysis: EdgeR, DESeq2, and limma
  • Advanced Transcriptomics: Splice Variant Analysis and Isoform Quantification
  • Functional Enrichment Analysis and Pathway Analysis: GO and KEGG
  • Transcriptomics Data Visualization and Interpretation
  • Single-Cell RNA Sequencing Analysis
  • Integrating Transcriptomics with other Omics Data (Multi-omics)
  • Reproducible Research and Data Management in Transcriptomics

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role in Transcriptomics Analysis (UK) Description Bioinformatician (Transcriptomics Focus) Analyze large transcriptomic datasets, develop and apply bioinformatics tools and pipelines.

High demand for expertise in RNA-Seq analysis and interpretation.

Transcriptomics Research Scientist Design and execute transcriptomic experiments, analyze data, and interpret results in a research setting.

Strong background in molecular biology and statistical analysis is key.

Data Scientist (Genomics & Transcriptomics) Develop and apply advanced statistical and machine learning methods to transcriptomic datasets.

Strong programming skills (R, Python) are essential.

Genomic Data Analyst (Transcriptomics Specialist) Perform quality control, analysis, and interpretation of genomic and transcriptomic data, collaborating with researchers across projects.

Experience with variant calling and gene expression analysis is valuable.

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Data Processing Statistical Analysis Gene Expression Biological Interpretation

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๊ฒฝ๋ ฅ ์ธ์ฆ์„œ ํš๋“

์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CAREER ADVANCEMENT PROGRAMME IN TRANSCRIPTOMICS 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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