ASCEND BY NTHRYS
Research Abroad Products

Mathematical Modelling Internship Topics

Browse all focused areas across all internship categories under this field.

Mathematical Modelling Internships with Accommodation

Choose an internship topic, then explore accommodation-enabled internship options at active NTHRYS branch locations in India.

Showing 1–10 of 10 internship topics
Protein Folding Prediction Using Deep Learning
Interns will develop and train neural network models to predict 3D protein structures from amino acid sequences. Work involves implementing transformer-based architectures, validating predictions against experimental data, and optimizing computational efficiency for large-scale protein databases.
AI Biological System Modelling ResearchView internship →
Systems Biology Network Analysis
Interns will construct and analyze biological network models including gene regulatory networks, metabolic pathways, and protein-protein interaction networks. Tasks include parameter estimation, sensitivity analysis, and validating network predictions against experimental datasets.
AI Biological System Modelling ResearchView internship →
Pharmacokinetic and Pharmacodynamic Modeling
Interns will develop mathematical models for drug absorption, distribution, metabolism, and elimination in biological systems. Research includes fitting computational models to clinical data, performing population pharmacokinetics analysis, and predicting drug efficacy and toxicity profiles.
AI Biological System Modelling ResearchView internship →
Computational Neuroscience and Neural Circuit Modeling
Interns will model neural dynamics using differential equations and machine learning approaches to understand brain function and behavior. Work involves implementing Hodgkin-Huxley models, analyzing neural oscillations, and simulating synaptic plasticity mechanisms.
AI Biological System Modelling ResearchView internship →
Tumor Growth and Cancer Progression Modeling
Interns will create mathematical models to simulate cancer cell dynamics, tumor microenvironment interactions, and treatment responses. Research includes parameter calibration using patient data, agent-based modeling of heterogeneous cell populations, and optimizing therapeutic strategies computationally.
AI Biological System Modelling ResearchView internship →
Hodgkin-Huxley Model Implementation and Parameter Optimization
Interns will implement the classic Hodgkin-Huxley model for action potential generation and optimize its parameters using experimental data. They will conduct sensitivity analyses to understand how ion channel properties affect neuronal excitability and compare simulations with electrophysiological recordings.
Neuron Firing and Brain Dynamics ModellingView internship →
Neural Network Synchronization and Coupled Oscillator Dynamics
Interns will model networks of coupled neurons using phase oscillator frameworks and study synchronization phenomena relevant to brain rhythms. They will investigate how coupling strength, network topology, and time delays influence collective dynamics and emergent firing patterns.
Neuron Firing and Brain Dynamics ModellingView internship →
Stochastic Neuron Models and Noise Effects on Spike Timing
Interns will develop stochastic versions of integrate-and-fire models incorporating channel noise, synaptic noise, and background input fluctuations. They will analyze how noise influences variability in spike timing, information transmission, and neural coding efficiency.
Neuron Firing and Brain Dynamics ModellingView internship →
Bifurcation Analysis and Neuronal Excitability Transitions
Interns will perform bifurcation analyses on reduced neuron models to identify transitions between resting, spiking, and bursting regimes. They will use dynamical systems tools to map parameter spaces and understand mechanisms underlying different excitability classes and firing patterns.
Neuron Firing and Brain Dynamics ModellingView internship →
Multi-scale Brain Dynamics: From Single Neurons to Population-Level Activity
Interns will develop mathematical frameworks connecting single-neuron firing properties to population-level dynamics observed in EEG and fMRI signals. They will work on mean-field approximations and neural mass models to simulate large-scale brain network behavior and oscillations.
Neuron Firing and Brain Dynamics ModellingView internship →
Want to browse internship categories in Mathematical Modelling? Explore all Mathematical Modelling internship categories.