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Bioinformatics PhD Projects, Programs & Scholarships in Birmingham

We have 23 Bioinformatics PhD Projects, Programs & Scholarships in Birmingham

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  Analysis of pathogen determinants recognized by the hypervariable immune receptor Dscam
  Dr M Soller
Applications accepted all year round
Background. To mount an immune response, host organisms must first recognize the pathogen with which they are infected. The first line of defense against pathogen infection in animals is provided through the innate immune response.
  Multimerisation of ELAV/Hu proteins – a key mechanism ensuring specificity for RNA recognition in health and disease
  Dr M Soller, Dr T Knowles
Applications accepted all year round
Aims. Determine the structure of the ELAV dodecameric complex bound to target RNA by cryoEM and functionally probe interaction interfaces in vitro and in vivo in transgenic Drosophila models for neurodegeneration and cancer.
  mRNA epigenetics: Charaterization of a novel layer of gene regulation for essential brain functions
  Research Group: BBSRC MIBTP
  Dr M Soller, Dr PG Grzechnik
Applications accepted all year round
For over 40 years we know about modified nucleotides in mRNA, but the functions for these essential modifications are largely elusive.
  BBSRC MIBTP - Identification of pathways deregulating neuronal ELAV/Hu RNA binding proteins and alternative splicing in neurodegeneration
  Research Group: BBSRC MIBTP
  Dr M Soller, Dr M Tomlinson
Applications accepted all year round
ELAV/Hu proteins comprise a family of highly conserved neuronal RNA binding proteins important for the development of the nervous system and for neuronal functions.
  Epitranscriptomic mechanisms in the maternal to zygotic transition of vertebrate embryos
  Dr M Soller, Prof F Mueller
Applications accepted all year round
Most mRNAs contain modified nucleotides in mRNA, but we know very little about their function (Haussmann et al, 2016, Dezi et al, 2016, Roignant and Soller, 2017).
  Integrating omics, imaging and informatics to develop physiology-based kinetic (PBK) models for perturbation biology in an invertebrate model species
  Prof M Viant, Dr B Campos, Dr C Rivetti, Dr I Sorrell
Application Deadline: 4 February 2019
This exciting 4-year BBSRC iCASE PhD opportunity bridges the University of Birmingham’s (*) metabolomics team and Unilever’s Safety and Environmental Assurance Centre (SEAC), both having state-of-the-art facilities and renowned research programmes, thereby creating an excellent environment for this challenging yet impactful research project.
  Extracting novel algorithms from Nature
  Dr G Bassel, Dr I Johnston
Application Deadline: 22 January 2019
The development of algorithms underpins the information processing age and data science. Creating novel algorithms capable for processing information under different conditions and scenarios provides opportunities to extend computation to new domains and under different conditions.
  The Automatic BioData Scientist: Neural approaches for stochastic disease modelling
  Dr C Yau
Application Deadline: 22 January 2019
Mathematical models of disease evolution seek to specify the complex mechanistic relationships between many measurable quantities over space and time.
  Regulation of autophagy in human embryonic stem cells and its therapeutic application in induced pluripotent stem cell-based disease models
  Dr S Sarkar
Applications accepted all year round
Project background. Regulation of proteostasis is critical for maintaining tissue homeostasis. Autophagy, a major intracellular degradation pathway essential for cellular and energy homeostasis, functions in the clearance of aggregation-prone proteins and damaged organelles.
  Methods for quantitative genetic analyses in autotetraploids
  Prof Z Luo
Applications accepted all year round
Methods for quantitative genetic analysis have been well established in almost all important diploid plants and animal including humans, and have served as essential tools for dissecting the genetic architectures underlying agronomically, evolutionarily and medically interesting quantitative and complex traits.
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