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Applied Mathematics (predictive) PhD Projects, Programs & Scholarships

We have 23 Applied Mathematics (predictive) PhD Projects, Programs & Scholarships

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  (BBSRC DTP) Predictive Genotype-Phenotype-Fitness Mapping in E.coli
  Dr M Lagator, Dr J-M Schwartz, Dr P Day
Application Deadline: 31 January 2020

Funding Type

PhD Type

Genotype-phenotype-fitness mapping, or the connection between genetic mutations and their effects on organismal fitness, lies at the heart of understanding and predicting evolution.
  Prestigious Strathclyde/NPL PhD Studentship: Structural Health Monitoring of Critical Energy Infrastructure with Predictive Maintenance
  Dr P Niewczas, Dr V Livina
Applications accepted all year round

Funding Type

PhD Type

The lack of risk-predictive algorithms limits the ability of engineers to perform predictive maintenance of infrastructure objects.
  EASTBIO Forward engineering of pattern formation: Models and experiments towards predictive multicellular self-organisation
  Research Group: Institute of Stem Cell Research
  Dr G Blin, Dr L Schumacher
Application Deadline: 5 January 2020

Funding Type

PhD Type

Background. The aim of developmental biology is a complete understanding of how the embryo develops, how embryonic cells acquire their fate and how they arrange in time and space to create complex organisms.
  Forward engineering of pattern formation: Models and experiments towards predictive multicellular self-organisation
  Research Group: Institute of Stem Cell Research
  Dr G Blin
Application Deadline: 5 January 2020

Funding Type

PhD Type

Background. The aim of developmental biology is a complete understanding of how the embryo develops, how embryonic cells acquire their fate and how they arrange in time and space to create complex organisms.
  Hybrid dynamic modelling framework for bioprocess digitalisation and optimisation
  Dr D Zhang
Application Deadline: 30 August 2020

Funding Type

PhD Type

The background of this research is to explore and integrate a range of mechanistic and machine learning based modelling strategies to develop a multilevel digital framework (digital twin) for industrial bioprocess dynamic simulation and prediction, online optimisation (online learning), and product quality control.
  How to make molecular machines: modelling ribosome biogenesis
  Prof C Romano, Prof I Stansfield
Applications accepted all year round

Funding Type

PhD Type

Ribosomes are arguably the most important biological molecular machines. Cells can be seen as factories of proteins, with ribosomes being the machines producing them.
  Network Inference and Machine Learning: Identification of Diseases-gene Regulation
  Dr F He
Application Deadline: 31 January 2020

Funding Type

PhD Type

Coventry University is inviting applications from suitably-qualified graduates for a fully-funded PhD studentship. The successful candidate will join the project ‘Network inference and machine learning.
  Prediction of microscale geometry and performance of 3D-printed medical implants (AGUF2019)
  Dr A Gleadall
Application Deadline: 31 August 2020

Funding Type

PhD Type

Cutting-edge medical implants for bone fracture repair are manufactured from biodegradable polymers because, unlike permanent devices, they are fully absorbed by the body over several months and do not need surgical removal after healing.
  Reducing Wind Turbine Vibrations using Maximum Entropy (WMUF2019)
  Dr W Midgley, Dr P Fleming
Application Deadline: 1 January 2020

Funding Type

PhD Type

Vibration due to wind loading can cause fatigue damage to the blades and the structure of modern wind turbines. The inherent uncertainty in wind conditions makes controlling these turbines difficult and conservative algorithms are often used to control them.
  Development of hybrid machine learning based strategy for bioprocess online control
  Dr D Zhang
Application Deadline: 30 August 2020

Funding Type

PhD Type

The background of this research is to explore and integrate a range of mechanistic and machine learning based modelling strategies to develop a multilevel digital framework (digital twin) for industrial bioprocess dynamic simulation and prediction, online optimisation (online learning), and product quality control.
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