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We have 157 Computational Physics PhD Projects, Programmes & Scholarships for European Students (exc UK)

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Computational Physics PhD Projects, Programmes & Scholarships for European Students (exc UK)

We have 157 Computational Physics PhD Projects, Programmes & Scholarships for European Students (exc UK)

Emergent Properties of Large Databases

The emergence of unusual or unexpected distributions in large data samples has resulted in some well-known laws, which includes Zipf’s Law in textual analysis [1], the Pareto distribution in the measurement of wealth [2], Benford’s Law in the distribution of first digits in real-world measurements [3], and Chargaff’s Second Parity Rule in genetics [4]. Read more

Designing optimal strategies for controlling complex quantum systems

AI_CDT_DecisionMaking. Details. Introduction. Complex processes, such as chemical reactions or financial markets, are challenging to predict due to vast data requirements, temporal correlations, and sensitivity to initial conditions [1]. Read more

Flow physics of supersonic boundary layers

PhD Supervisor: Neil Sandham. Project description. This project is focused on scale-resolving simulations (large-eddy and direct numerical simulation) combined with analysis to understand complex phenomena in high-speed boundary layers, from transonic up to hypersonic. Read more

[STFC Studentship] Using numerical relativity to model gravitational waves from binary black holes

Numerical solutions of the Einstein equations for the last orbits and merger of two black holes are essential to model the gravitational-wave signal from such systems, which are the prime source for gravitational-wave observations with Advanced LIGO and Virgo. Read more

[STFC Studentship] Formation of gravitational wave sources in dense star clusters

The Ligo-Virgo interferometers have detected more than 100 binary black hole mergers and hundreds to come. This new set of data has provided important clues to the properties of compact objects such as black holes and neutron stars and to the environments in which they form. Read more

Goal Driven Learning of Quantum Chemical Energy Surfaces using Multi-Fidelity Bayesian Optimization

AI_CDT_DecisionMaking. Details. Perhaps the most important task in computational materials modelling is efficient sampling of the complex interatomic potential energy surface (PES), dictated by chemical formula unit, and relative orientation of those species [1]. Read more

Computational Condensed Matter Physics

Prof. Dhara Trivedi, of the Physics Department at Clarkson University is currently seeking a Ph.D. student to serve as a Research Assistant/Teaching Assistant. Read more

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