| Date | Course Title | Tags |
|---|---|---|
| 3–7 Nov 2025 | Introduction to Deep Learning for Biologists |
Deep Learning · R · Bioinformatics · Intermediate/Advanced
|
| 16–20 Feb 2026 | Machine Learning with R |
Machine Learning · R · Bioinformatics · Intermediate/Advanced
|
|
9–11 & 13 Feb 2026
|
Developing Shiny Apps with AI | R · Shiny · AI · Beginner/Intermediate |
|
9–11 Mar 2026
|
Machine Learning for Bio-imaging | Machine Learning · Bio-imaging · Python · Intermediate/Advanced |
|
2–6 Mar 2026
|
Multimodal AI for Systems Biology | AI · Systems Biology · Python/R · Intermediate/Advanced |
|
23–26 Mar 2026
|
Advanced Python for Data Science and Bioinformatics | Python · Bioinformatics · Data Science · Intermediate/Advanced |
|
23–26 Mar 2026 |
Deep Learning Methods in Population Genomics | Deep Learning · Population Genomics · R · Intermediate/Advanced |
|
25 Mar 2026 |
Integrating Large Language Model Tools into R Workflows | LLMs · R · Bioinformatics · Intermediate/Advanced |
|
7–9 Apr 2026
|
AI for Genomics | AI · Genomics · R · Intermediate/Advanced |
|
3–5 Jun 2026
|
AI-Assisted Scientific Writing | AI · Writing · Bioinformatics · Intermediate/Advanced |
|
1–2 Jul 2026
|
AI-Powered Python for Bioinformatics | AI · Python · Bioinformatics · Intermediate/Advanced |
| 21–23 Sep 2026 | Machine Learning for Multi-Omics Integration | Machine Learning · Multi-Omics · R/Python · Intermediate/Advanced |
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