{"id":657,"date":"2017-02-28T13:10:25","date_gmt":"2017-02-28T11:10:25","guid":{"rendered":"http:\/\/biostatistics.med.uoa.gr\/?p=657"},"modified":"2017-02-28T13:10:25","modified_gmt":"2017-02-28T11:10:25","slug":"funded-phd-place-university-of-nottingham-uk","status":"publish","type":"post","link":"https:\/\/biostatistics.med.uoa.gr\/en\/funded-phd-place-university-of-nottingham-uk\/","title":{"rendered":"Funded PhD place,  University of Nottingham, UK"},"content":{"rendered":"<p><span class=\"m_-3125685764890408811mbtext\">Fully funded PhD place (UK\/EU fees AND stipend at \u00a314,553 per <\/span><br \/>\n<span class=\"m_-3125685764890408811mbtext\">annum for 2017\/18) for 4 years to start a PhD in September 2017. The PhD <\/span><br \/>\n<span class=\"m_-3125685764890408811mbtext\">is joint between the School of Biosciences and Mathematical Sciences at <\/span><br \/>\n<span class=\"m_-3125685764890408811mbtext\">the University of Nottingham, UK. <\/span><\/p>\n<p><span class=\"m_-3125685764890408811mbtext\">Project Title <\/span><br \/>\n<span class=\"m_-3125685764890408811mbtext\">&#8212;&#8212;&#8212;&#8212;&#8212; <\/span><br \/>\n<span class=\"m_-3125685764890408811mbtext\">Mathematical and Statistical Modelling of Risk of Emergence of <\/span><br \/>\n<span class=\"m_-3125685764890408811mbtext\">Antimicrobial Resistant Bacterial Pathogens and Reservoirs in <\/span><br \/>\n<span class=\"m_-3125685764890408811mbtext\">Agricultural Slurry <\/span><\/p>\n<p><span class=\"m_-3125685764890408811mbtext\">Project Description <\/span><br \/>\n<span class=\"m_-3125685764890408811mbtext\">&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;- <\/span><br \/>\n<span class=\"m_-3125685764890408811mbtext\">Antimicrobial resistance (AMR) is a major global challenge to human and <\/span><br \/>\n<span class=\"m_-3125685764890408811mbtext\">animal health and welfare. This project will develop mathematical models <\/span><br \/>\n<span class=\"m_-3125685764890408811mbtext\">that can be used to assess the risk of emergence of bacterial strains, <\/span><br \/>\n<span class=\"m_-3125685764890408811mbtext\">including pathogens, with new combinations of antimicrobial resistant <\/span><br \/>\n<span class=\"m_-3125685764890408811mbtext\">genes, and the impact of different farm interventions on these risks. <\/span><br \/>\n<span class=\"m_-3125685764890408811mbtext\">The models will be fitted to experimental data derived from the <\/span><br \/>\n<span class=\"m_-3125685764890408811mbtext\">EVAL-FARMS project, which is assessing the possible selection for <\/span><br \/>\n<span class=\"m_-3125685764890408811mbtext\">antimicrobial resistant bacteria in slurry from the University of <\/span><br \/>\n<span class=\"m_-3125685764890408811mbtext\">Nottingham\u2019s dairy farm. Specifically, the project will develop hybrid <\/span><br \/>\n<span class=\"m_-3125685764890408811mbtext\">deterministic\/stochastic population models that can describe large <\/span><br \/>\n<span class=\"m_-3125685764890408811mbtext\">populations of many different strains of bacteria, but with rare, random <\/span><br \/>\n<span class=\"m_-3125685764890408811mbtext\">events to describe the acquisition, loss or transfer of a resistance of <\/span><br \/>\n<span class=\"m_-3125685764890408811mbtext\">or between bacterial strains. Similar models have been successfully used <\/span><br \/>\n<span class=\"m_-3125685764890408811mbtext\">in describing virus dynamics. Data fitting will use advanced Bayesian <\/span><br \/>\n<span class=\"m_-3125685764890408811mbtext\">techniques, including Markov Chain Monte Carlo, and approximate Bayesian <\/span><br \/>\n<span class=\"m_-3125685764890408811mbtext\">techniques where experimental data is partially observed. The <\/span><br \/>\n<span class=\"m_-3125685764890408811mbtext\">probabilistic framework will then be used to associate levels of risk to <\/span><br \/>\n<span class=\"m_-3125685764890408811mbtext\">emergence of new resistant strains, and to assess the impact of <\/span><br \/>\n<span class=\"m_-3125685764890408811mbtext\">different farm interventions. <\/span><\/p>\n<p><span class=\"m_-3125685764890408811mbtext\">More details can be found here: <\/span><\/p>\n<p><span class=\"m_-3125685764890408811mbtext\"><a href=\"http:\/\/www.nottingham.ac.uk\/jobs\/currentvacancies\/ref\/SCI1695\" target=\"_blank\" data-saferedirecturl=\"https:\/\/www.google.com\/url?hl=en&amp;q=http:\/\/www.nottingham.ac.uk\/jobs\/currentvacancies\/ref\/SCI1695&amp;source=gmail&amp;ust=1488365209043000&amp;usg=AFQjCNEKRCcNs94hcAtxd5DCaaW6k35qQw\">http:\/\/www.nottingham.ac.uk\/<wbr \/>jobs\/currentvacancies\/ref\/<wbr \/>SCI1695<\/a> <\/span><\/p>\n<p><span class=\"m_-3125685764890408811mbtext\">**Deadline** <span class=\"aBn\" tabindex=\"0\" data-term=\"goog_490997766\"><span class=\"aQJ\">Friday, 31st March 2017<\/span><\/span> <\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Fully funded PhD place (UK\/EU fees AND stipend at \u00a314,553 per annum for 2017\/18) for 4 years to start a PhD in September 2017. The PhD is joint between the School of Biosciences and Mathematical Sciences at the University of Nottingham, UK. Project Title &#8212;&#8212;&#8212;&#8212;&#8212; Mathematical and Statistical Modelling of Risk of Emergence of Antimicrobial <a href=\"https:\/\/biostatistics.med.uoa.gr\/en\/funded-phd-place-university-of-nottingham-uk\/\" rel=\"nofollow\"><span class=\"sr-only\">Read more about Funded PhD place,  University of Nottingham, UK<\/span>[&hellip;]<\/a><\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[17,15],"tags":[],"_links":{"self":[{"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/posts\/657"}],"collection":[{"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/comments?post=657"}],"version-history":[{"count":1,"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/posts\/657\/revisions"}],"predecessor-version":[{"id":658,"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/posts\/657\/revisions\/658"}],"wp:attachment":[{"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/media?parent=657"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/categories?post=657"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/tags?post=657"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}