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Information Science (scientific computing) PhD Projects, Programs & Scholarships

We have 11 Information Science (scientific computing) 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.
  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.
  Fast, reliable and secure wireless IoT chaos-based communication
  Dr M S Baptista
Applications accepted all year round

Funding Type

PhD Type

This PhD project tackles scientific issues aimed at creating and laying the mathematical foundations of an innovative Wireless IoT Communication System…
  Investigating methods and applications of citation context analysis
  Dr T Cribbin, Dr S Lauria, Prof G Ghinea, Dr A Money
Applications accepted all year round

Funding Type

PhD Type

Traditionally, scientometric/text-mining approaches have treated the content of scientific articles and their citations as distinct units of analysis.
  Artificial Intelligence and Machine Learning for Biomedical Data
  Prof P Andras
Applications accepted all year round

Funding Type

PhD Type

Artificial Intelligence (AI) and Machine Learning (ML) are the leading edge approaches to data driven problems across all areas of life, technology and sciences.
  Design human-like machine learning
  Dr C Grosan
Applications accepted all year round

Funding Type

PhD Type

A study of the publications available via PubMed alone (a database of 26 million references to biomedical publications), shows that only four machine learning models (linear regression, Bayesian reasoning, Random Forests and Neural Networks) are frequently employed in most of the experiments.
  High-quality electrons and high-brightness x-rays from wakefield acceleration
  Dr E Boella
Applications accepted all year round

Funding Type

PhD Type

Laser wakefield accelerators (LWFA) are able to sustain accelerating gradients orders of magnitude larger than radio-frequency accelerators.
  The outcomes of innovative radiotherapy regimes for the treatment of cancer under the RadNet programme
  Prof G Royle, Dr C Allemani, Prof M Coleman
Application Deadline: 16 March 2020

Funding Type

PhD Type

Radiotherapy is a key treatment modality for at least half of all cancers. Delivering a curative radiation dose to the cancer can be complicated by imprecise targeting of the tumour, radiation resistance, clonal heterogeneity or other reasons.
  EPSRC/IBM INDUSTRIAL CASE PhD Studentship in Data-Driven Optimization: Tuning Bayesian Optimization for Problems with Dynamic Resource Constraints
  Dr R Allmendinger
Application Deadline: 17 April 2020

Funding Type

PhD Type

A full-time PhD research studentship, including full stipend and tuition fee costs, is available for 4 years starting September 2020.
  KESS2 Scholarship: Techno-economic Analysis of Solar Heat Farms: Hydrogen, Water or Electricity? (MbyRes)
  Dr S Carr
Application Deadline: 1 March 2020

Funding Type

PhD Type

Here is an exciting opportunity to study the application of solar heat farms (based on arrays of solar thermal collectors and/or solar photovoltaic modules), which could lead to entirely new approaches to providing low carbon heat at scale.
  PhD Studentship Opportunity in Real time complex scene segmentation and prediction in urban environments
  Prof R Bowden
Applications accepted all year round

Funding Type

PhD Type

Semantic image segmentation describes the process of associating each pixel of an image with a class label (such as flower, person, road, sky etc).
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