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Mathematical Modelling

Mathematical Modelling
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Mathematical Modelling

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 120 of 50

AI Epidemiological Modelling Research
Internship studying epidemiological modelling with AI parameter estimation from surveillance data. Applied sessions reinforce each technique.
5 focused areasClick to view more details →
Machine Learning Climate Mathematical Model Research
Internship studying climate models with ML emulation, calibration, and uncertainty analysis. Interns practise on genuine research problems.
5 focused areasClick to view more details →
AI Biological System Modelling Research
Internship studying biological system modelling with AI fitting of mechanism to measured data. Interns practise on genuine research problems.
Academic (A)Tech (T)Research (R)
1 Month
A · £268
T · £857
R · £1,247
3 Months
A · £1,127
T · £1,378
R · £2,004
6 Months
A · £2,504
T · £3,061
R · £4,452
14 more durations from 5 days to 1 year
5 focused areasClick to view more details →
AI Financial Mathematical Modelling Research
Internship studying financial modelling with analysis of pricing, risk, and stochastic processes. Guided practice with real datasets throughout.
5 focused areasClick to view more details →
AI Agent-Based Modelling Research
Internship studying agent-based modelling with AI calibration of rules against observed behaviour. Hands-on work runs alongside theory modules.
5 focused areasClick to view more details →
AI Network Modelling Research
Internship studying network modelling with analysis of structure, dynamics, and spreading processes. Practical exercises anchor every concept taught.
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AI Multiscale Mathematical Modelling Research
Internship studying multiscale modelling with AI bridging between fine and coarse descriptions. Includes mentored hands-on analysis sessions.
5 focused areasClick to view more details →
AI Stochastic Modelling Research
Internship studying stochastic modelling where randomness genuinely drives system outcomes. Hands-on work runs alongside theory modules.
5 focused areasClick to view more details →
AI Optimal Control Modelling Research
Internship studying optimal control with analysis of steering systems toward desired trajectories. Interns work with realistic case datasets.
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AI Physics-Informed Neural Modelling Research
Internship studying physics-informed neural models that embed governing equations into learning. Mentor-led sessions build applied skill.
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Nonlinear Dynamical Systems Analysis Research
Investigate bifurcation phenomena, chaos theory, and stability analysis in complex nonlinear systems through computational and analytical methods.
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Computational Fluid Dynamics Modelling
Develop and validate numerical simulations for fluid flow problems including turbulence, heat transfer, and aerodynamic applications.
5 focused areasClick to view more details →
Partial Differential Equations Solver Research
Research numerical methods for solving PDEs including finite element, finite difference, and spectral methods for engineering applications.
5 focused areasClick to view more details →
Spatial-Temporal Pattern Formation Modelling
Study reaction-diffusion systems, traveling waves, and pattern emergence through mathematical analysis and numerical simulation.
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Population Dynamics and Evolutionary Modelling
Model population growth, predator-prey interactions, and evolutionary dynamics using differential equations and game theory.
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Optimization Algorithm Development Research
Design and implement novel optimization algorithms for unconstrained and constrained problems with applications in real-world systems.
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Supply Chain Logistics Modelling
Create mathematical models for inventory management, routing optimization, and supply chain network design using operations research.
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Traffic Flow and Transportation Modelling
Develop macroscopic and microscopic models for vehicular traffic, pedestrian dynamics, and public transportation optimization.
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Epidemic Model Parameter Estimation
Calibrate compartmental disease models using real epidemiological data and analyze intervention effectiveness through simulation.
5 focused areasClick to view more details →
Quantum Computing Algorithm Modelling
Investigate quantum algorithms through mathematical frameworks, complexity analysis, and simulation on classical systems.
5 focused areasClick to view more details →