Don't miss our weekly PhD newsletter | Sign up now Don't miss our weekly PhD newsletter | Sign up now

We have 9 Statistics (analytical) PhD Projects, Programmes & Scholarships

Discipline

Discipline

Mathematics

Location

Location

All locations

Institution

Institution

All Institutions

PhD Type

PhD Type

All PhD Types

Funding

Funding

All Funding


Statistics (analytical) PhD Projects, Programmes & Scholarships

We have 9 Statistics (analytical) PhD Projects, Programmes & Scholarships

Clinical Prediction Modelling under Federated Learning

Clinical prediction models (CPMs) take a set of characteristics about a patient to estimate their risk of an event of interest. Developing CPMs using data that captures observations across multiple clusters (e.g., countries) can increase the robustness and generalisability of CPMs. Read more

Faculty of Science, Masaryk University

Embark on an enriching academic journey with our esteemed doctoral degree programs in various scientific fields. Read more

Using nutrigenetic, nutrigenomic and machine learning approaches to investigate the risk of cardiometabolic disease-related traits in ethnically diverse populations.

This PhD project represents an exciting opportunity to develop and conduct research at the forefront of nutritional and genetic epidemiology, contributing to the prediction, prevention, and better understanding of the development of non-communicable diseases such as obesity and diabetes, using datasets from multiple ethnic groups. Read more

Physics of biological morphogenesis: PhD position for a theoretical physicist at the University of Geneva (Switzerland)

We offer a PhD position for an outstanding, highly motivated, and creative theoretical physicist in the Salbreux group. Projects are at the interface of physics and biology and involve analytical theory, numerical simulations, and data analysis, in close collaboration with experimental groups. Read more

Identifying complex spatio-temporal biomarkers of brain diseases

  Research Group: Division of Statistics
Bayesian models today are providing the tools to explore the complexity of brain architecture. Therefore, there is a crucial need for leading researchers with an in-depth comprehension of the current challenges in neuroscience and the quantitative skills to develop cutting-edge solutions. Read more
  • 1

Filtering Results