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Applied Physics (information studies) PhD Projects, Programs & Scholarships

We have 28 Applied Physics (information studies) PhD Projects, Programs & Scholarships

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  Deep Learning for Temporal Information Processing
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Temporal information process covers a broad class of learning problems where knowledge can be acquired from data of a sequential order, e.g.
  Ensemble Strategies for Semi-Supervised, Unsupervised and Transfer Learning
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Traditionally there are two main paradigms in machine learning, supervised vs. unsupervised learning.
  Theoretical and numerical studies of relativistic laser-plasma interaction and applications
  Prof Z Sheng
Applications accepted all year round

Funding Type

PhD Type

You might be a potential candidate if you are interested in using high performance computing to discover novel physics or solve key problems in high intensity laser-matter interactions and their applications, particularly in advanced particle accelerators and radiation sources (from THz to X-rays).
  EPSRC Industrial CASE PhD Studentship “DNP-enhanced Solid-state NMR Studies of Pharmaceuticals”
  Dr J J Titman
Applications accepted all year round

Funding Type

PhD Type

Solid-state nuclear magnetic resonance (NMR) is a powerful method for studying the molecular structure and dynamics of a broad range of systems from heterogeneous materials to biological molecules.
  Computational Image Processing: Super-resolution restoration of microscopy images and its application in biological and biomedical imaging
  Dr W Lu
Application Deadline: 31 July 2019

Funding Type

PhD Type

Super-resolution microscopy is an emerging field that tries to overcome the resolution limit of conventional microscopy. This project will take a multi-disciplinary approach to this problem by combining the fields of image processing with microscopy imaging to develop a novel super-resolution restoration method.
  Index-near-zero-embedded optical resonators
  Prof M Ferrera
Applications accepted all year round

Funding Type

PhD Type

Optical cavities (nanoantennas, micro-ring resonators, Fabry-Perot nanocavities, etc.) immersed in an index-near-zero environment will be modelled, fabricated, and characterised.
  PhD: Fluorescence imaging, diagnosis, and photodynamic therapy for brain tumours (Laser Research and Therapy Fund) - University of St Andrews
  Prof D Reid, Dr K Wood
Application Deadline: 30 July 2019

Funding Type

PhD Type

Glioblastoma multiforme (GBM) is an aggressive malignant brain tumour with a median survival for adults of only 11 – 15 months. Published studies have shown that prognosis can be improved if near-complete removal of the tumour can be achieved in surgery.
  PhD: Fluorescence imaging, diagnosis, and photodynamic therapy for brain tumours (University of St Andrews)
  Prof A Kemp, Prof M Dunn, Prof D Reid
Applications accepted all year round

Funding Type

PhD Type

Glioblastoma multiforme (GBM) is an aggressive malignant brain tumour with a median survival for adults of only 11 – 15 months. Published studies have shown that prognosis can be improved if near-complete removal of the tumour can be achieved in surgery [do we need to put references?].
  Ultra-nonlinear epsilon-near-zero flat optics
  Prof M Ferrera
Applications accepted all year round

Funding Type

PhD Type

Design and characterisation of different artificial materials for the design of ultra-fast tuneable photonics devices. Giant epsilon-near-zero nonlinearities are targeted to allow subwavelength manipulation of light in both classic and quantum regime.
  Molecular interactions in solution for multi-component crystallisation
  Dr K Edkins, Dr J Holbrey
Applications accepted all year round

Funding Type

PhD Type

Crystallisation is probably one of the most important unit operations in pharmaceutical industry for purification, as well as the generation of materials appropriate for formulation and application to the patient.
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