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Pathway Interactomics Summer Internships

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Showing 1–12 of 50 categories
AI Signaling Pathway Network Research
Internship studying signalling networks with AI analysis of cascades, feedback, and cross-talk. Guided practice with real datasets throughout.
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Machine Learning Pathway Cross-Talk Research
Internship studying pathway cross-talk with ML detection of interaction between signalling routes. Practical exercises anchor every concept taught.
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AI Disease Pathway Interactome Research
Internship studying disease pathway interactomes with AI mapping of disrupted molecular connections. Practical exercises anchor every concept taught.
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AI Drug Pathway Target Research
Internship studying drug pathway targets with AI analysis of where intervention shifts the network. Interns work with realistic case datasets.
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AI Metabolic Pathway Flux Research
Internship studying metabolic pathway flux with AI estimation from omics and tracer measurements. Hands-on work runs alongside theory modules.
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AI Regulatory Pathway Mapping Research
Internship studying regulatory pathway mapping with AI inference from expression and binding data. Applied sessions reinforce each technique.
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AI Cancer Pathway Interactomics Research
Internship studying cancer pathway interactomics with AI analysis of rewired signalling networks. Includes mentored hands-on analysis sessions.
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AI Immune Pathway Network Research
Internship studying immune pathway networks with AI analysis of activation and regulatory circuits. Mentor-led sessions build applied skill.
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AI Single-Cell Pathway Analysis Research
Internship studying pathway activity per cell with AI scoring across single-cell datasets. Includes mentored hands-on analysis sessions.
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AI Multi-Omic Pathway Integration Research
Internship studying pathway integration across omics with AI models spanning molecular layers. Interns practise on genuine research problems.
5 focused areas Click to view more details →
Protein-Protein Interaction Network Mapping
Research focusing on experimental and computational identification of direct physical interactions between proteins within signaling pathways using techniques like yeast two-hybrid and co-immunoprecipitation.
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Phosphorylation Site Prediction Algorithms
Developing machine learning models to predict kinase-substrate relationships and phosphorylation sites across multiple signaling cascades.
5 focused areas Click to view more details →
Looking for internship topics in Pathway Interactomics? Explore all Pathway Interactomics internship topics and focused areas available across our internship categories.