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Statistics PhD Projects, Programmes & Scholarships

We have 47 Statistics PhD Projects, Programmes & Scholarships

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We have 47 Statistics PhD Projects, Programmes & Scholarships

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PhD studentship in neuro-symbolic AI and/or explainability

One fully funded PhD position to work with Dr Vaishak Belle in the School of Informatics at the University of Edinburgh, on a project titled “Neuro-symbolic AI and/or explainability”. Read more

Join our graduate school at the interface of biology and computation: IMPRS-BAC in Berlin

We are looking for outstanding graduates from all over the world - whether you have a degree in biology, biochemistry, bioinformatics, computer science, mathematics or something related, as long as you have a passion for working at the interface between biology and computation, this may be the place for you. Read more
Last chance to apply

Statistical Modeling for Complex Observation Data: Applications to Intelligent Transport System

  Research Group: Statistics and Data Analysis
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2022. Read more
Last chance to apply

Bayesian spatial modelling for biodiversity

  Research Group: Statistics and Data Analysis
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2022. Read more

Physiological basis linking sleep continuity and age-related cognitive deficits: in vivo manipulation and monitoring of activity of layer 5 neurons in the cortex of mice

  Research Group: Surrey Sleep Research Centre (SSRC)
A good night’s sleep is essential to maintain proper mental health. In particular, consolidated periods of sleep (i.e. sleep continuity) seem to be critical for cognition as reported in humans (Della Monica et al., 2018) and rodents (Rolls et al., 2011). Read more

Measuring Tail Operational Risk under Extreme Value Theory

Operational risk is defined as "the risk of direct or indirect loss resulting from inadequate or failed internal processes, people and systems or from external events'' by Basel Committee on Banking Supervision (BCBS, 2003). Read more

Numerical Algorithms for Molecular Systems and Data Science

Details: . Stochastic differential equations (SDEs) are widely used in science and engineering in order to model systems where random effects play a significant role. Read more

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