Develop methods and software using probabilistic transmission models, based on MCMC methods, to track the spread of healthcare-associated infection. Prepare manuscripts describing important methodological advances and subsequent applied publications where the methods are used to assess infection control interventions - in particular to assess the impact of contact precautions on MRSA transmission, and to investigate determinants of C. difficile transmission. Prepare tutorial material aimed at showing the infection control community how to use the software. Prepare R documentation for the software and a full manual for software that assumes no prior experience with MCMC methods
Hold a relevant PhD/DPhil. Experience of implementing mechanistic models. Proficiency in writing code in at least one programming language. Ability to manage own academic research and associated activities. Previous experience of contributing to publications/presentations. Ability to contribute ideas for new research projects and research income generation
Postdoctoral Researcher - CDC Modelling Infectious Diseases in Healthcare Network Big Data Institute, Old Rd, Oxford, OX3 7FZ Grade 7: £31,604 - £38,833 p.a. We seeking a CDC Modelling Infectious Diseases in Healthcare Network Postdoctoral Researcher to join a research group with responsibility for carrying out research on probabilistic transmission models to track the spread of healthcare-associated infections. The work will form part of a larger initiative funded by the Centers for Disease Control and Prevention, the Modelling Infectious Diseases in Healthcare Network (www.cdc.gov/hai/research/MIND-Healthcare.html), working with collaborators from the University of Utah and Harvard University, including Professor Matt Samore and Professor Marc Lipsitch. The postholder will repost to Dr David Eyre and Professor Ben Cooper. As our postdoctoral researcher your responsibilities will include developing methods and software using probabilistic transmission models, based on MCMC methods, to track the spread of healthcare-associated infection, and preparing manuscripts describing important methodological advances and subsequent applied publications where the methods are used to assess infection control interventions - in particular to assess the impact of contact precautions on MRSA transmission, and to investigate determinants of C difficile transmission. You will hold a relevant PhD/DPhil and have experience of implementing mechanistic models. It is also essential that you are proficient in writing code in at least one programming language and it would be desirable if you were proficient in writing code in C++. Please read the job description for more detail. The post is full-time and fixed-term until 31 July 2020. Applications for this vacancy are to be made online. You will be required to upload a supporting statement and CV as part of your online application. Only applications received before 12.00 midday on Friday 5 January 2018 will be considered. Interviews are expected to take place on 24 January 2018 so please ensure you are available on this date. Please note that the University of Oxford's retirement policy has changed. With effect from 1 October 2017, all employees at Grade 8 and above have a retirement age of the 30 September before the 69th birthday. All employees at Grades 1-7 do not have a set retirement age. Further details are available here: www.ox.ac.uk/about/jobs/preemploymentscreening. Contact Person : HR Officer Vacancy ID : 132432 Contact Phone : 01865 222905 Closing Date : 05-Jan-2018 Contact Email : email@example.com Click on the link(s) below to view documents Filesize 132432 - JD 318.9
Please click here, if the Job didn't load correctly.
Please wait. You are being redirected to the Job in 3 seconds.