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We have 17 Computer Science (monte carlo) PhD Projects, Programmes & Scholarships

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Computer Science (monte carlo) PhD Projects, Programmes & Scholarships

We have 17 Computer Science (monte carlo) PhD Projects, Programmes & Scholarships

Sequential Monte Carlo Methods for Bayesian Inference in Complex Systems

This project will focus on the development of Bayesian inference methods such as sequential Markov Chain Monte Carlo (MCMC) methods for filtering and smoothing of states and parameters of complex nonlinear systems. Read more

Computer modelling the development of organisations in the high-tech entrepreneurship ecosystem

Technological firms are regarded as key for national and regional economic development. Today, more than ever before, the business environment is burgeoning with innovation; Even simply Googling for apps and services to help boost elementary office efficiency, returns over 2000 items. Read more

Data-driven optimal prediction of bacteria growth

This project is devoted to an AI-based prediction of bacteria growth and its control by antibiotics. In synthetic biology, an improved understanding of bacterial regulatory circuits is required to develop complex biological systems with functionalities beyond existing in nature [1, 2]. Read more

High-dimensional computations with applications to uncertainty quantification for multiphysics engineering systems

The Strathclyde Centre for Doctoral Training (SCDT) in "Data-driven uncertainty-aware multiphysics simulations" (StrathDRUMS) is a new, multi-disciplinary centre of the University of Strathclyde, which will carry out cutting-edge research in data-driven modelling and uncertainty quantification for multiphysics engineering systems. Read more

Data-driven optimal prediction of bacteria growth

This project is devoted to an AI-based prediction of bacteria growth and its control by antibiotics. In synthetic biology, an improved understanding of bacterial regulatory circuits is required to develop complex biological systems with functionalities beyond existing in nature [1, 2]. Read more

Mathematical Machine Learning for Molecular Modeling

Project description. This PhD project aims to develop Machine Learning methods for Molecular Modeling with a particular focus on aspects relevant to dynamics preserving coarse-graining strategies. Read more

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