Category Archives: Oxford
The group has moved to the Big Data Institute, University of Oxford
Collaborative PhD and postdoc positions available
Dr Nicole Stoesser, Prof. Derrick Crook, myself and colleagues in Oxford are seeking a postdoc in Microbial Genomics with statistics skills to join a new three-year project investigating antimicrobial resistance in environmental, human and animal reservoirs of E. coli and related organisms. The application deadline is noon Monday 11th July. For more details click here.
Dr Pierre Mahe of bioMérieux in Grenoble, France, is seeking to appoint an industry-linked PhD position developing statistical methods for genome-based characterization of antimicrobial resistance and virulence genes, with a focus on the opportunistic pathogen Pseudomonas aeruginosa. The position involves a secondment here in Oxford. For more details click here or contact Pierre Mahe.
Dr Pierre Mahe of bioMérieux in Grenoble, France, is seeking to appoint an industry-linked PhD position developing statistical methods for genome-based characterization of antimicrobial resistance and virulence genes, with a focus on the opportunistic pathogen Pseudomonas aeruginosa. The position involves a secondment here in Oxford. For more details click here or contact Pierre Mahe.
Postdoctoral Position in Statistical Genomics
The position of Postdoctoral Scientist is available in my group to lead research on the Wellcome Trust and Royal Society funded project Statistical Methods for Whole Genome Phenotype Mapping in Bacterial Populations.
Bacteria cause disease throughout the world. Different strains vary in disease severity, but the genetic variants responsible remain largely undiscovered. Recent breakthroughs in whole genome sequencing provide new opportunities for discovery, but the lack of statistical analysis tools tailored to the special structure of bacterial populations presents a roadblock. The goal of the project is to develop an analysis framework for mapping genes underlying naturally variable traits in bacterial populations. Focusing on the hospital-associated pathogens Staphylococcus aureus and Clostridium difficile, we will investigate the role of bacterial variants on disease severity.
The role of the Postdoctoral Scientist is to develop novel statistical methods for analysing genotype-phenotype associations in bacteria at the whole genome level. The successful candidate will write software implementing the statistical methods and apply them to design and carry out investigations into the genetic basis of virulence in natural populations of bacterial pathogens. The ideal candidate would be a recently graduating PhD student with experience of statistical genetics and computer programming, with evidence of publicly released software. Experience of population genetics or microbiology would be advantageous but is not essential.
The post is available immediately, and is available for up to 3 years in the first instance. For more details on this position, including salary, job description, selection criteria and how to apply, please see the University of Oxford recruitment page.
Applications for this vacancy are to be made online. The closing date is 12.00 noon on Monday 4 November 2013. Applicants will be asked to upload a CV and a supporting statement as part of the online application. For informal enquiries, please email me. More information about the group's research is available here.
Bacteria cause disease throughout the world. Different strains vary in disease severity, but the genetic variants responsible remain largely undiscovered. Recent breakthroughs in whole genome sequencing provide new opportunities for discovery, but the lack of statistical analysis tools tailored to the special structure of bacterial populations presents a roadblock. The goal of the project is to develop an analysis framework for mapping genes underlying naturally variable traits in bacterial populations. Focusing on the hospital-associated pathogens Staphylococcus aureus and Clostridium difficile, we will investigate the role of bacterial variants on disease severity.
The role of the Postdoctoral Scientist is to develop novel statistical methods for analysing genotype-phenotype associations in bacteria at the whole genome level. The successful candidate will write software implementing the statistical methods and apply them to design and carry out investigations into the genetic basis of virulence in natural populations of bacterial pathogens. The ideal candidate would be a recently graduating PhD student with experience of statistical genetics and computer programming, with evidence of publicly released software. Experience of population genetics or microbiology would be advantageous but is not essential.
The post is available immediately, and is available for up to 3 years in the first instance. For more details on this position, including salary, job description, selection criteria and how to apply, please see the University of Oxford recruitment page.
Applications for this vacancy are to be made online. The closing date is 12.00 noon on Monday 4 November 2013. Applicants will be asked to upload a CV and a supporting statement as part of the online application. For informal enquiries, please email me. More information about the group's research is available here.
Postdoc and PhD position available
These positions are now closed.
Advertised today in Nature and on Thursday in New Scientist are two positions in my lab. I am looking for a postdoc and a PhD student to work on the genome evolution and epidemiology of four human pathogens as part of the Modernising Medical Microbiology project. Three of the pathogens share the theme of hospital-acquired infections: they are Staphylococcus aureus (of MRSA infamy), Clostridium difficile and norovirus (aka winter vomiting disease). The fourth is Mycobacterium tuberculosis (TB) which is a re-emerging problem in developed countries.
The aim of the project is to use whole genome sequencing of many isolates (100s to 1000s) in order to reconstruct evolutionary relationships and deconstruct transmission routes. We hope to develop the technology to the stage that we can trace the spread of pathogens in real time, and uncover the epidemiological triggers for the spread of disease.
As of January I have relocated to the Nuffield Department of Clinical Medicine at the University of Oxford, and the project is a collaborative affair between people at Oxford (including Rory Bowden, Derrick Crook, Peter Donnelly and Rosalind Harding), the Wellcome Trust Sanger Institute, the NHS and the Health Protection Agency. The project is funded by the UKCRC and further details of the positions are available online for the postdoc and PhD studentship. The closing date for applications is Friday, 2 April 2010.
Advertised today in Nature and on Thursday in New Scientist are two positions in my lab. I am looking for a postdoc and a PhD student to work on the genome evolution and epidemiology of four human pathogens as part of the Modernising Medical Microbiology project. Three of the pathogens share the theme of hospital-acquired infections: they are Staphylococcus aureus (of MRSA infamy), Clostridium difficile and norovirus (aka winter vomiting disease). The fourth is Mycobacterium tuberculosis (TB) which is a re-emerging problem in developed countries.
The aim of the project is to use whole genome sequencing of many isolates (100s to 1000s) in order to reconstruct evolutionary relationships and deconstruct transmission routes. We hope to develop the technology to the stage that we can trace the spread of pathogens in real time, and uncover the epidemiological triggers for the spread of disease.
As of January I have relocated to the Nuffield Department of Clinical Medicine at the University of Oxford, and the project is a collaborative affair between people at Oxford (including Rory Bowden, Derrick Crook, Peter Donnelly and Rosalind Harding), the Wellcome Trust Sanger Institute, the NHS and the Health Protection Agency. The project is funded by the UKCRC and further details of the positions are available online for the postdoc and PhD studentship. The closing date for applications is Friday, 2 April 2010.