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Statistics (neural engineering) PhD Projects, Programs & Scholarships

We have 11 Statistics (neural engineering) PhD Projects, Programs & Scholarships

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  Computer aided design methods for mammalian genome engineering
  Research Group: Institute of Quantitative Biology, Biochemistry and Biotechnology
  Dr G Stracquadanio, Dr F Menolascina
Application Deadline: 5 January 2020

Funding Type

PhD Type

Computer Aided Design (CAD) software assists engineers in designing systems in-silico, thus reducing the time-to-market of a product and increasing the overall productivity.
  The dynamics of human attention in the online environment
  Dr M-A Rizoiu
Applications accepted all year round

Funding Type

PhD Type

Topic. This project will develop and evaluate stochastic models for the spread of information over complex social networks, in which the individual actions -- such as retweets, posts or shares -- are only partially observed.
  A Neural Fuzzy Fusion Engine for Human-Machine Autonomous Systems
  Dr YK Wang
Applications accepted all year round

Funding Type

PhD Type

Abstract. This project aims to develop an intelligent engine to adaptively fuse multiple trust-based information from various agents in human machine autonomous systems (HMAS).
  PhD in Computing Science: Data compression at the quantum limit for big-data machine learning applications
  Prof R Murray-Smith, Prof D Faccio
Applications accepted all year round

Funding Type

PhD Type

Background.
  PhD Studentship Opportunity in Uncertainty quantification in high-dimensional spaces with Bayesian deep learning
  Research Group: Nature Inspired Computing and Engineering
  Dr Y Li
Applications accepted all year round

Funding Type

PhD Type

The Nature Inspired Computing and Engineering (NICE) Research Group in the Department of Computer Science at the University of Surrey invites applications for a funded studentship in Machine Learning.
  Development of image analysis methods and software to study musculoskeletal diseases using artificial intelligence (AI)
  Dr Claudia Lindner, Prof T Cootes
Applications accepted all year round

Funding Type

PhD Type

Musculoskeletal (MSK) diseases affect an increasing number of the population globally. In the UK, on average 3 in 10 people are affected, which increases to 1 in 2 in the age group 65+.
  Machine Learning for Computational Medical Imaging
  Dr M Golbabaee, Prof P Hall
Application Deadline: 8 December 2019

Funding Type

PhD Type

The University of Bath is inviting applications for a fully funded PhD studentship based in the Department of Computer Science and under the supervision of Dr Mohammad Golbabaee (lead supervisor) https://mgolbabaee.wordpress.com/ and Prof Peter Hall (co-supervisor) https://researchportal.bath.ac.uk/en/persons/peter-hall.
  Molecular, Genetic and Lifecourse Epidemiology Wellcome Trust 4 year PhD Programme

Funding Type

PhD Type

Wellcome Trust 4-year PhD Programme in Molecular, Genetic and Lifecourse Epidemiology (MGLE). We are seeking enthusiastic scientists to join the next generation of inter-disciplinary researchers who will exploit the wealth of new data being generated in population health sciences.
  Machine learning methods to identify regulatory networks controlling proliferation and senescence
  Research Group: Institute of Quantitative Biology, Biochemistry and Biotechnology
  Dr G Stracquadanio, Dr T Ly
Application Deadline: 5 January 2020

Funding Type

PhD Type

Cells are controlled by an intricate network of interactions between genes and proteins, which mediate fundamental processes, such as metabolism, growth and proliferation.
  The application of artificial intelligence to benthic species identification
  Dr K Howell, Dr P Culverhouse
Application Deadline: 7 January 2020

Funding Type

PhD Type

Marine benthic ecosystems are chronically under-sampled particularly in environments >50m. Yet a rising level of anthropogenic threats makes data collection ever more urgent.
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