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

We have 22 Data Analysis (scientific computing) PhD Projects, Programs & Scholarships

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  PhD position in Computational Sciences
  Prof C Alexandrou
Applications accepted all year round

Funding Type

PhD Type

PhD, with possibility of financial aiding at The Cyprus Institute (CyI). Supervisors. Prof. C. Alexandrou (CyI) [email protected]
  FoodBioSystems DTP - Identifying beneficial plant-microbial interactions using multi-omic approaches
  Dr M Swain, Dr S Cameron, Dr K Farrar
Application Deadline: 6 March 2020

Funding Type

PhD Type

Research Group. FOODBIOSYSTEMS BBSRC DTP. Microbes known as endophytes are usually bacteria or fungi, which live within specific plant tissues without causing disease.
  Network modelling of spatial distributions from large data sets
  Research Group: Complex Systems and Networks
  Dr V Nicosia
Applications accepted all year round

Funding Type

PhD Type

The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing either in September 2020 for students seeking funding, or in January 2020 or April 2020 for self-funded students.
  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.
  Smart sensors and spectral techniques in human movement science
  Research Group: Computing, Informatics and Applications Research Group
  Dr D Vicinanza, Dr J Zhang
Applications accepted all year round

Funding Type

PhD Type

Research Group. Computing, Informatics and Applications Research Group in collaboration with the Exeter Biomechanics Research Team (ExBiRT), University of Exeter.
  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.
  20 Funded PhD Positions in the IMPRS-CellDevoSys - Integrating Biology, Physics, Chemistry & Computer Science

Funding Type

PhD Type

A 4-year PhD Program involving 3 renowned international institutes. the Max Planck Institute of Molecular Cell Biology and Genetics, the Center for Systems Biology Dresden, and the Max Planck Institute for the Physics of Complex Systems.
  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.
  20 Funded PhD Positions in the IMPRS-CellDevoSys - Integrating Biology, Physics, Chemistry & Computer Science

Funding Type

PhD Type

A 4-year PhD Program involving 3 renowned international institutes. the Max Planck Institute of Molecular Cell Biology and Genetics, the Center for Systems Biology Dresden, and the Max Planck Institute for the Physics of Complex Systems.
  Quantitative Risk Assessment for Food Safety (allergens, microbial pathogens or chemical contaminants)
  Prof N Strachan, Dr F Perez-Reche
Applications accepted all year round

Funding Type

PhD Type

This project will use computational methods to assess risks. An expectation of the society we live in is that the food that we eat is safe.
  FoodBioSystems DTP - Food Processing with Solid State Microwave Technology for Higher Product Quality and Lower Carbon Footprint
  Prof S Tassou, Dr M Oruna-Concha, Dr V Stojceska, Dr J Rodriquez Garcia
Application Deadline: 6 March 2020

Funding Type

PhD Type

Research Group. FOODBIOSYSTEMS BBSRC DTP. Microwaves are well-established as sources of dry heat and are very widely used in the home and some industrial applications in the food sector.
  EPSRC DTP studentship in Sparsity and structures in large-scale machine learning problems
  Dr B Gauthier, Dr K Strokorb
Application Deadline: 16 March 2020

Funding Type

PhD Type

This project aims at investigating, both from a theoretical and computational point of view, the design of novel model-based and data-driven feature extraction and sparsification strategies for the approximation of complex Machine Learning problems.
  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.
  3D Spectrum Imaging and Visualisation of Chemical Microstructure
  Dr J Leng
Application Deadline: 28 February 2020

Funding Type

PhD Type

This PhD studentship will make a key contribution to the development of a methodology to produce 3D chemical maps of a multiphase material (or the interface between two different materials) from the visible to the atomic scale by utilising the state of the art electron microscopy facilities in the Leeds Electron Microscopy and Spectroscopy centre (LEMAS).
  PhD Studentship Opportunity in Enhancing Cyber Security Information Sharing
  Dr S Moschoyiannis
Applications accepted all year round

Funding Type

PhD Type

Cyber Threat Information Sharing Platforms are carefully engineered systems in which users of the systems contribute to the reporting of cyber threat information.
  Deep Learning / Bioinformatics Approach for Protein-Protein Interaction Prediction
  Dr JC Nebel
Applications accepted all year round

Funding Type

PhD Type

Since most molecular processes rely on protein–protein interactions PPIs), knowledge of those interactions is extremely valuable for biomedical research and drug design.
  Porous Media for a Green World
  Dr N Shokri
Applications accepted all year round

Funding Type

PhD Type

Sustainable use of soil and water resources is crucial to preserve healthy terrestrial ecosystems and maintaining food security.
  Prediction of sustainability performance of ionic liquids using a group contribution framework
  Dr R Cuellar-Franca, Dr C Avendano, Prof C Hardacre
Applications accepted all year round

Funding Type

PhD Type

The versatility and wide range of applications of ionic liquids (ILs) offer industry with endless possibilities for sustainable innovation.
  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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