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Information Science (computational physics) PhD Projects, Programs & Scholarships

We have 12 Information Science (computational physics) PhD Projects, Programs & Scholarships

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  Join a new graduate school at the interface of biology and computation: IMPRS-BAC in Berlin

Funding Type

PhD Type

We are looking for outstanding graduates from all over the world - whether you have a degree in bioinformatics, computer science, mathematics, physics, molecular biology or something related, as long as you have a passion for solving biological questions through computational methods, the IMPRS-CBSC may be the PhD program for you.
  Computation study of catalytic surface materials & reactions
  Prof H Kornweitz
Applications accepted all year round

Funding Type

PhD Type

The computational laboratory at the Department of Chemical Science at Ariel University in Israel is seeking a Ph.D. student to conduct a computational research in the area of homogeneous and heterogeneous catalysis, using small molecules and nano-particles.
  The mathematics behind the smartness of neural networks
  Dr M S Baptista
Applications accepted all year round

Funding Type

PhD Type

Intelligence is one of the pillars that allows animals to master their environment. Scientific approaches recently proposed have been capable of simulating networked systems that reproduce similar emergent manifestations of behavior as those observed in the brain.
  Autonomous 5G Networks
  Prof J Cosmas
Applications accepted all year round

Funding Type

PhD Type

5G Networks are expected to support many use cases ranging from autonomous vehicles, e-health, industry 4.0, entertainment, transport, smart cities etc.
  Automated Big data analysis
  Dr A Starkey, Dr M N Campbell-Bannerman
Applications accepted all year round

Funding Type

PhD Type

This project will focus on the task of automating data analysis tasks, particularly for numerical data but the techniques developed could be applied to other domains such as textual data analysis.
  Autonomous learning with Artificial Intelligence
  Dr A Starkey, Dr M N Campbell-Bannerman
Applications accepted all year round

Funding Type

PhD Type

The ability to learn the sensorimotor maps of unknown environments without supervision is a vital capability of any autonomous agent, be it biological or artificial.
  Design of Experiments for Network Science
  Dr B Parker
Applications accepted all year round

Funding Type

PhD Type

Design of Experiments (DOE) is a research area within statistics that allows scientists to maximise the amount of information derived from an experiment.
  Overcoming the penetration depth limitations of optical coherence tomography in clinical dentistry using full electromagnetic wave computer models
  Dr P H Tomlins, Dr R Donnan
Applications accepted all year round

Funding Type

PhD Type

Background. In healthcare, imaging is one of the most important diagnostic tools available. Deep tissue imaging is usually achieved using either ionising X-Ray radiation, MRI which is expensive or ultrasound, which has low resolution.
  Deep learning for image colour transfer (GONGH2U20SF)
  Dr H Gong, Prof G Finlayson
Application Deadline: 31 May 2020

Funding Type

PhD Type

Colours may vary from image to image. This may be caused by different capture conditions (e.g. illumination, camera), seasons, object reflectances, and post-processing.
  Image segmentation
  Prof AK Nandi
Applications accepted all year round

Funding Type

PhD Type

Image segmentation has many applications in biomedical and many other fields. It is essential for target detection and identification.
  Regulatory-compliant Planning for Decommissioning - NDC
  Dr M J Kollingbaum, Dr N Oren, Prof J Paterson
Application Deadline: 1 March 2020

Funding Type

PhD Type

In this project, we look at distributed planning problems in highly regulated domains. The domain under consideration is decommissioning of oil and gas infrastructures.
  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).
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