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Data Analysis (parallel computing) PhD Projects, Programs & Scholarships

We have 7 Data Analysis (parallel computing) PhD Projects, Programs & Scholarships

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  Direct numerical simulation of polymeric-fluid flows
  Dr D Kivotides, Dr P Grassia
Applications accepted all year round

Funding Type

PhD Type

Polymers and turbulence are two of the most difficult problems in statistical physics. In the past, the study of polymeric liquids was divided in two categories.
  Computational imaging: Multi-Sensors Fusion for High Resolution 3D Lidar videos (EPS2020/40)
  Dr AH Halimi, Prof S McLaughlin
Application Deadline: 28 February 2020

Funding Type

PhD Type

Recent technological innovations, eg detection and acquisition hardware, have pushed sparse-photon imaging to the fore in a variety of applications including 3D Lidar imaging and microscopy.
  Developing pipelines for the inference of gene regulatory networks
  Dr T Thorne
Applications accepted all year round

Funding Type

PhD Type

Gene regulatory networks are fundamental to many processes that take place in the cell. However learning the structure of these networks from high-throughput experimental data and deriving useful biological insights is challenging.
  Big Data Analytics and Mining: investigating and testing distributed formulations of data mining algorithms that are suitable for the MapReduce paradigm and for other distributed computing approaches
  Dr G DiFatta
Applications accepted all year round

Funding Type

PhD Type

Big Data indicates very large and complex data sets that are difficult to process using traditional and sequential data processing applications.
  Supporting Healthy Microbiota in Aged Skin
  Prof M Hardman, Dr A Oates
Application Deadline: 29 January 2020

Funding Type

PhD Type

This PhD project is based in Hull York Medical School. The skin is home to diverse communities of microorganisms that display elaborate topographical variation.
  Machine Learning from Long Time-Series (EPSRC CDT in Distributed Algorithms)
  Dr A Garcia-Fernandez, Prof LA Gąsieniec
Application Deadline: 31 January 2020

Funding Type

PhD Type

The focus of this project is on scalable machine learning of time-series models. Such machine learning necessarily involves assessing candidate models by processing data using each of many candidate models.
  Event based signal processing for isotope identification at reduced power
  Dr A Hamilton
Application Deadline: 31 January 2020

Funding Type

PhD Type

Conventional detection systems typically comprise analogue sensors, analogue to digital conversion, digital signal processing and sometimes digital to analogue conversion, all driven by a synchronous clock.
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