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Probability PhD Projects, Programmes & Scholarships

We have 34 Probability PhD Projects, Programmes & Scholarships

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We have 34 Probability PhD Projects, Programmes & Scholarships

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PhD studentship in Statistics – Scale-freeness and growth stability of realistic network models

Overview. Scale-freeness and growth stability of realistic network models. Interested in studying how network grow? This PhD project will investigate the properties of a stochastic model that generates networks from a probabilistic point of view. Read more

The long arm of childhood: Cross national comparisons using Big Cohort Data (RDF23/MPEE/PAKPAHAN)

Our current health and social economic status are dependent upon the experiences in early life. For example, a 65-years old male, in a healthy condition, is strongly associated with his healthy behaviours that have been consistently followed in previous years. Read more

Generative Models and Machine Learning in Astrophysics

Science and our quest to understand and explain the Universe around us requires interpretability in our models. Many models and especially machine learning models can appear to be a 'black box' that produces answers without understanding. Read more

Stochastic randomized control on bicycle balance

Bicycles are widely used for transportation, exercise, and recreation and play an important role in urban mobility. Individuals benefit from the fact that cycling is a healthy and cheap form of transport. Read more

Research opportunities in Mathematics

The Department of Mathematics at York offers a thriving research environment in which to study for a PhD or MPhil. We combine world-class mathematical and interdisciplinary research with high-quality teaching. Read more

Stochastic Optimization Models for Energy Systems

  Research Group: Operational Research
Applications are invited for one full-time PhD position in the newly founded research group led by Bismark Singh within the Operational Research group at the University of Southampton. Read more

Information theoretic methods for sensor management

Supervisory Team.   Professor Daniel Clark. Project description. There is growing need for the development of autonomous systems that are able to make decisions automatically based on information that they receive from sensors. Read more

Safety assured Bayesian machine learning for reliable decision making in autonomous driving

Autonomous driving systems (ADS) using artificial intelligence techniques have seen rapid development in recent years. Autonomous driving is expected to reshape the current transportation system and may significantly impact human travel in the near future. Read more

Random β-transformations

One of the most classical examples of a dynamical system stem from β-transformations. Namely, self-maps on [0, 1] of the form x → {βx}, where β is a real number with |β| > 1 and where {βx} denotes the fractional part of βx. Read more

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