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Motif Prediction Internships

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Motif Prediction Internships with Accommodation

Explore internship opportunities with access to NTHRYS accommodation options at active branch locations in India.

Showing 1–12 of 50 categories
AI Transcription Factor Motif Research
Internship studying transcription factor motifs with AI modelling of binding specificity and context. Applied sessions reinforce each technique.
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Machine Learning DNA Motif Discovery Research
Internship studying DNA motif discovery with ML methods that beat position weight matrix approaches. Guided practice with real datasets throughout.
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AI RNA Motif Prediction Research
Internship studying RNA motifs with AI prediction of structural and sequence recognition elements. Hands-on work runs alongside theory modules.
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AI Protein Linear Motif Research
Internship studying linear motifs with AI detection in disordered regions and functional annotation. Interns work with realistic case datasets.
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AI Regulatory Motif Conservation Research
Internship studying motif conservation with AI comparison across genomes and functional constraint. Mentor-led sessions build applied skill.
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AI ChIP-seq Motif Analysis Research
Internship studying motif analysis from ChIP-seq with AI discovery of enriched binding patterns. Applied sessions reinforce each technique.
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AI Enhancer Motif Prediction Research
Internship studying enhancer motifs with AI prediction validated by reporter and editing experiments. Includes mentored hands-on analysis sessions.
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AI De Novo Motif Finding Research
Internship studying de novo motif finding with AI detection of recurring sequence patterns. Guided practice with real datasets throughout.
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AI Splice Site Motif Research
Internship studying splice site motifs with AI analysis of recognition strength and variant disruption. Interns practise on genuine research problems.
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AI Protein Interaction Motif Research
Internship studying protein interaction motifs with analysis of short linear recognition sequences. Practical exercises anchor every concept taught.
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Deep Learning Motif Classification Networks
Develop and train convolutional neural networks to classify and validate predicted DNA and protein motifs with high accuracy.
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Comparative Genomic Motif Evolution Study
Investigate how regulatory motifs evolve across species by comparing motif patterns in homologous genomic regions.
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