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Applied Mathematics

Applied Mathematics
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Applied Mathematics

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 Differential Equation Modeling in Biology
Internship modelling biological systems with differential equations and AI parameter estimation. Guided practice with real datasets throughout.
5 focused areasClick to view more details →
Machine Learning for Mathematical Biology Research
Internship combining mathematical biology with ML that fits models to messy experimental data. Mentor-led sessions build applied skill.
Academic (A)Tech (T)Research (R)
1 Month
A · ₹7,670
T · ₹24,493
R · ₹35,626
3 Months
A · ₹32,207
T · ₹39,364
R · ₹57,256
6 Months
A · ₹71,570
T · ₹87,475
R · ₹1,27,236
14 more durations from 5 days to 1 year
5 focused areasClick to view more details →
AI Optimization Algorithm Development Research
Internship developing optimisation algorithms for biological problems with AI-assisted search. Interns work with realistic case datasets.
5 focused areasClick to view more details →
Stochastic Modeling in Life Sciences Research
Internship building stochastic models where randomness genuinely drives biological outcomes. Applied sessions reinforce each technique.
5 focused areasClick to view more details →
Topological Data Analysis in Biology Research
Internship applying topological data analysis to biological datasets with shape-based methods. Guided practice with real datasets throughout.
5 focused areasClick to view more details →
AI Game Theory in Evolutionary Biology Research
Internship applying game theory to evolutionary questions with AI simulation of strategy dynamics. Includes mentored hands-on analysis sessions.
5 focused areasClick to view more details →
AI Network Mathematics in Systems Biology
Internship applying network mathematics to biological systems with AI analysis of structure. Practical exercises anchor every concept taught.
5 focused areasClick to view more details →
Numerical Methods for Biomedical Simulation
Internship developing numerical methods for biomedical simulation with stability and accuracy focus. Hands-on work runs alongside theory modules.
5 focused areasClick to view more details →
AI Bayesian Inference in Applied Mathematics
Internship applying Bayesian inference to biological problems with AI-assisted model fitting. Applied sessions reinforce each technique.
5 focused areasClick to view more details →
Quantum Mathematical Modeling Research
Internship exploring quantum mathematical modelling approaches applied to biological problems. Interns practise on genuine research problems.
5 focused areasClick to view more details →
Computational Fluid Dynamics Turbulence Modeling
Develop and validate numerical schemes for solving Navier-Stokes equations in turbulent flow regimes using finite element and finite volume methods.
5 focused areasClick to view more details →
Inverse Problems in Medical Imaging
Research regularization techniques and reconstruction algorithms for computed tomography, magnetic resonance imaging, and ultrasound imaging applications.
5 focused areasClick to view more details →
Finite Element Analysis for Structural Mechanics
Implement and optimize FEM solvers for elasticity problems, stress analysis, and dynamic structural response in engineering applications.
5 focused areasClick to view more details →
Partial Differential Equations in Climate Modeling
Develop numerical solutions for atmospheric and oceanic PDEs to simulate weather patterns and long-term climate scenarios.
5 focused areasClick to view more details →
Machine Learning for Material Properties Prediction
Train neural networks and kernel methods to predict material behavior, mechanical properties, and phase transitions from compositional data.
5 focused areasClick to view more details →
Graph Neural Networks for Chemical Compounds
Design GNN architectures to model molecular structures and predict chemical reactivity, toxicity, and drug efficacy properties.
5 focused areasClick to view more details →
Monte Carlo Methods in Risk Analysis
Implement advanced sampling techniques and variance reduction methods for uncertainty quantification in financial and engineering risk assessment.
5 focused areasClick to view more details →
Optimization for Supply Chain Networks
Develop integer programming and metaheuristic algorithms to optimize logistics, inventory management, and distribution networks.
5 focused areasClick to view more details →
Wavelet Analysis in Signal Processing
Apply continuous and discrete wavelet transforms for feature extraction, denoising, and time-frequency analysis of sensor and audio signals.
5 focused areasClick to view more details →
Nonlinear Control Theory Applications
Research feedback control design using Lyapunov stability analysis and sliding mode control for autonomous systems and robotics.
5 focused areasClick to view more details →