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Ai Neurobiology

Ai Neurobiology
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Ai Neurobiology

Choose a category below to begin. Each category opens into focused areas, and selecting a focused area lets you pick your final internship variant (your preferred track, mode and duration).

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Showing 1–20 of 50

AI Neural Circuit Mapping & Connectomics Research
Internship mapping neural circuits with AI reconstruction from volumetric imaging into connectomes. Mentor-led sessions build applied skill.
Academic (A)Tech (T)Research (R)
1 Month
A · ₹7,670
T · ₹22,079
R · ₹32,115
3 Months
A · ₹29,032
T · ₹35,484
R · ₹51,613
6 Months
A · ₹64,517
T · ₹78,854
R · ₹1,14,696
14 more durations from 5 days to 1 year
5 focused areasClick to view more details →
Machine Learning for Synaptic Plasticity Research
Internship studying synaptic plasticity with ML models linking activity patterns to lasting change. Includes mentored hands-on analysis sessions.
5 focused areasClick to view more details →
AI Neurodegeneration Mechanism Discovery Research
Internship discovering neurodegeneration mechanisms with AI integration of genetics and pathology. Hands-on work runs alongside theory modules.
Academic (A)Tech (T)Research (R)
1 Month
A · ₹7,670
T · ₹21,478
R · ₹31,241
3 Months
A · ₹28,243
T · ₹34,519
R · ₹50,209
6 Months
A · ₹62,762
T · ₹76,709
R · ₹1,11,576
14 more durations from 5 days to 1 year
5 focused areasClick to view more details →
Deep Learning for Neurotransmitter Dynamics
Internship analysing neurotransmitter dynamics with deep models of sensor signals across circuits. Guided practice with real datasets throughout.
5 focused areasClick to view more details →
AI Glial Cell Biology & Neuroinflammation Research
Internship studying glia and neuroinflammation with AI profiling of states across disease models. Interns work with realistic case datasets.
5 focused areasClick to view more details →
AI Brain Organoid Neurodevelopment Research
Internship studying neurodevelopment in brain organoids with AI analysis of structure and activity. Practical exercises anchor every concept taught.
5 focused areasClick to view more details →
AI Neuronal Epigenomics Research
Internship studying neuronal epigenomes with AI links from chromatin states to plasticity and memory. Interns practise on genuine research problems.
5 focused areasClick to view more details →
AI Axon Regeneration & Neuroprotection Research
Internship studying axon regeneration with AI screens for factors that protect and regrow neurons. Guided practice with real datasets throughout.
5 focused areasClick to view more details →
AI Blood-Brain Barrier Permeability Research
Internship predicting brain barrier permeability with AI models guiding CNS candidate selection. Includes mentored hands-on analysis sessions.
5 focused areasClick to view more details →
AI Spatial Transcriptomics in Brain Research
Internship mapping brain gene expression spatially with AI alignment across sections and atlases. Applied sessions reinforce each technique.
5 focused areasClick to view more details →
AI Protein Structure Prediction in Neurons
Develop machine learning models to predict three-dimensional neuronal protein structures and their functional roles in synaptic transmission.
5 focused areasClick to view more details →
Neural Network Behavior Pattern Recognition
Apply deep learning algorithms to identify and classify complex behavioral patterns in neural activity recordings from live organisms.
5 focused areasClick to view more details →
AI Brain Image Segmentation Analysis
Create neural network pipelines for automated segmentation of brain structures in MRI and CT imaging data for research applications.
5 focused areasClick to view more details →
Machine Learning Neuron Classification Systems
Develop AI models to classify distinct neuronal types based on morphological features, gene expression, and electrophysiological properties.
5 focused areasClick to view more details →
Deep Learning Brain Tumor Detection
Engineer convolutional neural networks to detect and segment brain tumors in medical imaging for research and diagnostic support.
5 focused areasClick to view more details →
AI Neuronal Calcium Imaging Data Processing
Build machine learning workflows to process and analyze high-speed calcium imaging data to track neuronal activity patterns.
5 focused areasClick to view more details →
Natural Language Processing Neuroscience Literature
Utilize NLP techniques to extract and synthesize knowledge from neuroscience research publications for knowledge graph construction.
5 focused areasClick to view more details →
AI Neurotrophin Pathway Signal Modeling
Design machine learning models to simulate neurotrophin signaling cascades and their effects on neuronal growth and survival.
5 focused areasClick to view more details →
Reinforcement Learning Brain Navigation Research
Apply reinforcement learning to study and model how neural circuits guide spatial navigation and decision-making behaviors.
5 focused areasClick to view more details →
AI Neuroimaging Data Harmonization Methods
Develop machine learning approaches to harmonize and integrate neuroimaging data across multiple studies and imaging modalities.
5 focused areasClick to view more details →