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Statistics (group theory) PhD Projects, Programs & Scholarships

We have 6 Statistics (group theory) PhD Projects, Programs & Scholarships

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  FoodBioSystems DTP - Variation in forages for improved micronutrient nutrition in livestock
  Dr S Palmer, Dr S Stergiadis, Prof A Kingston-Smith, Mr P Billings
Application Deadline: 6 March 2020

Funding Type

PhD Type

Research Group. FOODBIOSYSTEMS BBSRC DTP. Milk is a rich source of protein, calcium, iodine, magnesium and manganese, and is seen as a key mechanism via which health and nutrition can be improved in many countries, developed and developing alike.
  Inequality, Health Beliefs, Networks and Inference: Exploring the Links Between Social Co-ordinates and Network Structure
  Prof N Jones
Applications accepted all year round

Funding Type

PhD Type

PhD Project. Imperial College Mathematics. Student Background. Theoretical Physics, Mathematics, Statistics, Electrical Engineering (BioMedical knowledge not required).
  Investigating Noise in Ageing Cellular Power Stations
  Prof N Jones
Applications accepted all year round

Funding Type

PhD Type

PhD Project. Imperial College Mathematics. Student Background. Theoretical Physics, Mathematics/Statistics, Electrical Engineering (Biological knowledge not required).
  Statistics, Physics and Population Dynamics (GREENMANCU20SCIO)
  Dr C Greenman, Dr A Nikoloulopoulos
Application Deadline: 30 January 2020

Funding Type

PhD Type

Population dynamics are concerned with how sets of entities (e.g. cells) change through time. Such changes can be mediated by internal factors (such as mutations in a cell) or externally (environmental factors), and require stochastic techniques to model their behavior.
  Bayesian Uncertainty Quantification for Clustering Problems
  Research Group: Statistics
  Dr W Yoo, Dr S Liverani
Applications accepted all year round

Funding Type

PhD Type

The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing either in September 2020 for students seeking funding, or in January 2020 or April 2020 for self-funded students.
  Towards prediction of synthetically accessible organic molecular crystals
  Dr V Kurlin, Prof A Cooper
Application Deadline: 15 March 2020

Funding Type

PhD Type

The vision of the project is to transform materials discovery into a routine computational task. Materials discovery still needs a lot of human expertise, trial-and-error and even pure luck, because there is no rigorous theory to guide an efficient search in the huge space of all theoretically possible materials.
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