biotech

Data Capacity

Computational biomarker discovery

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eco

Modelling & Simulation

Agri-data science for Africa

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visibility

Mentorship

Medical imaging & detection AI

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Hands-On Training

Language models for African languages

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Interdisciplinary Innovation

Data analytics for enterprise

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Multidisciplinary Teams

Autonomous systems research

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R Statistical Platform

Primary statistical computing environment for all DASCLAB courses and research.

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code

Python 3 / Anaconda

Deep learning, NLP, and data engineering pipelines across all lab projects.

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storage

MySQL / PostgreSQL

Relational database systems for structured clinical and research data.

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PyTorch / TensorFlow

Neural network frameworks for deep learning training and deployment.

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Apache Spark / Hadoop

Distributed big data processing for genomics and large-scale analytics.

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Quarto / R Markdown

Reproducible research reports, academic papers, and dashboards.

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biotech

miRNAVISA

Web application for interactive miRNA family visualisation and comparison.

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