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PhD Projects, Programs & Scholarships in Manchester

We have 496 PhD Projects, Programs & Scholarships in Manchester

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Showing 1 to 10 of 496
  Direct Elucidation of the Gas Adsorption Behaviour of Metal-Organic Frameworks (MOFs) by In-situ Single Crystal X-ray Diffraction
  Dr M Attfield, Dr I Vitorica-Yrezabal, Dr G Whitehead
Application Deadline: 15 February 2019
An EPSRC DTG funded 42 month PhD Studentship is available in the Centre for Nanoporous Materials, School of Chemistry for an outstanding chemist in the field of metal-organic frameworks (MOFs).
  X-ray Spectroscopy Quantification of f-block Electronic Structure
  Dr M Baker, Dr D P Mills
Application Deadline: 28 February 2019
Applicants are invited to pursue a fully funded postgraduate studentship in the research group of Dr. Michael L. Baker and Dr. David Mills at The University of Manchester at Harwell, located alongside the Diamond Light Source and ISIS Neutron and Muon Source near Oxford.
  (A*STAR) Awakening natural product biosynthetic gene clusters for novel compound discovery using systems and synthetic biology
  Prof E Takano, Prof R Breitling
Application Deadline: 31 January 2019
Recent advances in molecular biology, in particular our improved ability to read and (most importantly) write genomic sequences, have led to renewed excitement in the area of genetic engineering.
  (Turing) Can we use machine learning risk prediction models in diverse settings in the healthcare system?
  Prof T Van Staa, Dr N Geifman, Dr V Palin
Application Deadline: 31 January 2019
There is considerable potential to use routinely collected electronic health records (EHRs) to estimate the risks of major clinical outcomes (such as heart attack, mortality or hospital admission) which could then be used by clinicians to target treatment.
  (Turing) Decentralised Reproducibility - the development of an ontology and standards of methodologies for health data science reproducibility
  Prof JA Ainsworth, Mr G Leeming
Application Deadline: 31 January 2019
The crisis of reproducibility and replicability in science is well known1. The challenges of reproducibility in health data science are particularly complex and it remains uncommon2.
  (Turing) Planning public services to increase physical activity through agent-based modelling
  Prof JA Ainsworth, Dr S Van der Veer
Application Deadline: 31 January 2019
An increase in physical activity in a population delivers health benefits to individuals and reduces the burden on health and social care services1,2.
  (Turing) Individualised health-span prediction in large scale datasets using machine learning techniques
  Prof K Muir, Dr A Lophatananon
Application Deadline: 31 January 2019
One of the major determinants of healthy ageing is a lifestyle that includes regular exercise, a balanced diet and lack of chronic “stress”.
  (A*STAR) Synthetic human genomes
  Prof P Cai, Prof D Delneri
Application Deadline: 31 January 2019
We are entering the exciting new age of synthetic biology. Recent technological breakthroughs present big opportunities in synthesizing DNA from scratch, building DNA into radically designed genomes, editing genes within living cells, and investigating how new biological functions emerge from these massive changes.
  (A*STAR) Bacterial glycosyltransferases for bioengineering of biologics
  Prof S Flitsch, Prof P Barran
Application Deadline: 31 January 2019
Within industry, biologics are usually produced in large bioreactors which are subject to slight manufacturing changes in production and purification which induce variations in glycosylation.
  (A*STAR) Practical Privacy-preserving Machine Learning
  Dr M Mustafa, Dr G Brown
Application Deadline: 31 January 2019
Machine learning is extremely pervasive today with variety of applications, some of which use privacy sensitive user data. In general, computing parties (e.g., cloud providers) and data owners (e.g., users) are not the same, and this setting introduces multiple layer of threats.
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