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synthetic biology PhD Projects, Programs & Scholarships

We have 192 synthetic biology PhD Projects, Programs & Scholarships

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  Bioengineering of bacterial CO2-concentrating system for improved photosynthesis
  Prof LN Liu, Dr D Canniffe
Applications accepted all year round

Funding Type

PhD Type

The single-cell photosynthetic bacteria, cyanobacteria, account for over 25% of global carbon fixation, thanks for their powerful CO2-concentrating machinery.
  Synthetic biology toward innovative virus-like particles
  Prof Bernd Rehm
Applications accepted all year round

Funding Type

PhD Type

Virus-like particles (VLP) are self-assembled viral proteins that do not contain genetic material and are non-infectious. VLPs have been successfully developed into particulate vaccines for prevention of viral infections such as human papilloma virus or Hepatitis B.
  (BBSRC DTP) Predictive Genotype-Phenotype-Fitness Mapping in E.coli
  Dr M Lagator, Dr J-M Schwartz, Dr P Day
Application Deadline: 31 January 2020

Funding Type

PhD Type

Genotype-phenotype-fitness mapping, or the connection between genetic mutations and their effects on organismal fitness, lies at the heart of understanding and predicting evolution.
  Bioplastic from sustainable feedstock – tackling the plastic challenge
  Dr K Tee
Application Deadline: 15 January 2020

Funding Type

PhD Type

Plastic is used in many applications, including packaging, construction material, parts in the automotive, biomedical devices and electronic components.
  (BBSRC DTP CASE) Microbial chassis engineering for next generation hydrocarbon biofuels manufacturing
  Prof N Scrutton, Dr S Hay
Application Deadline: 31 January 2020

Funding Type

PhD Type

The development of economically viable microbial biofuels is a consequence of global concerns about reducing carbon emissions, dwindling fossil fuel supply and the development of cost effective renewable and sustainable bio-based strategies.
  Advancing engineering and gene circuits approaches to regulate metabolism in productive, fast-growing cyanobacterial strains
  Research Group: Institute of Molecular Plant Sciences
  Dr A McCormick, Dr Baojun Wang
Application Deadline: 5 January 2020

Funding Type

PhD Type

Cyanobacteria are an important phylum of photosynthetic microbes that can convert captured CO2 into a wide variety of complex organic molecules.
  EASTBIO Multiscale modelling and analysis of stochastic gene expression in mammalian cells
  Research Group: Institute of Quantitative Biology, Biochemistry and Biotechnology
  Dr R Grima, Dr D Oyarzun
Application Deadline: 5 January 2020

Funding Type

PhD Type

We are looking for a motivated doctoral student to join us on an exciting project at the interface of stochastic modelling and systems and synthetic biology.
  Forward engineering of pattern formation: Models and experiments towards predictive multicellular self-organisation
  Research Group: Institute of Stem Cell Research
  Dr G Blin
Application Deadline: 5 January 2020

Funding Type

PhD Type

Background. The aim of developmental biology is a complete understanding of how the embryo develops, how embryonic cells acquire their fate and how they arrange in time and space to create complex organisms.
  Automating large-scale gene circuit design towards programmable cellular computers
  Research Group: Institute of Quantitative Biology, Biochemistry and Biotechnology
  Dr Baojun Wang
Application Deadline: 5 January 2020

Funding Type

PhD Type

Bacterial cells live in an ever changing environment and therefore are equipped with specific genetically-encoded sensors and signalling networks to continuously perceive and process the various environmental signals.
  EASTBIO Automating large-scale gene circuit design towards programmable cellular computers
  Research Group: Institute of Quantitative Biology, Biochemistry and Biotechnology
  Dr Baojun Wang, Dr D Oyarzun
Application Deadline: 5 January 2020

Funding Type

PhD Type

Bacterial cells live in an ever changing environment and therefore are equipped with specific genetically-encoded sensors and signalling networks to continuously perceive and process the various environmental signals.
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