曼彻斯特大学（英国）(BBSRC NWD) Leveraging machine learning to uncover multimorbidity clusters in rheumatoid arthritis申请条件要求-申请方
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曼彻斯特大学（英国）
PhD直招介绍
About the Project
Chronic inflammatory diseases such as rheumatoid arthritis (RA) are potentially life-ruining. Not only is the condition itself associated with significant pain and disability, patients are more likely to be diagnosed with other co-morbid conditions, both as a consequence of chronic inflammation as well as its treatments. This multimorbidity will also influence disease status (such as remission) and choice and safety of medications. The ways these comorbidities develop and cluster over time and their association with anti-rheumatic medications is not well understood. Data-science approaches offer a new opportunity to explore this further, with the potential to reveal previously unrecognised patterns of illness over time, which could have direct impact on the way these conditions are managed in routine care.
The British Society for Rheumatology (www.bsrbr.org) has been capturing significant clinical data from >30000 patients with RA since 2001. Novel AI unsupervised machine learning approaches, such as Latent Class Analysis and Topological Data Analysis, can be applied to these data to look for relations and patterns of disease clustering and their relationship to medication and the underlying arthritis disease activity over time.
The anticipated outcomes for patients include personalised therapies to prevent and mitigate multimorbidity development. For the PhD candidate, outcomes would include a series of high impact publications focusing on highly-impactful clinical outcomes. Strong methodological skills which could be built upon or transferred to post-doctoral work are anticipated.
The PhD will be based within the University of Manchester Centre for Musculoskeletal Research, which hosts a world-leading research programme in pharmacoepidemiology and data science in inflammatory arthritis. This division already hosts a number of PhD students and offers a many opportunities for training and wider learning within the research field. The lead supervisors have an existing track record of collaboration. The student will be welcomed into all regular seminars and study groups already running within the department which cover a wide range of skills and interests in the related disciplines of epidemiology, biostatistics and data science. Based on the students existing knowledge and experience, further bespoke training in machine learning with R and other computing packages will be offered.
Stephanie Shoop-Worrall - Research Explorer The University of Manchester( https://research.manchester.ac.uk/en/persons/stephanie.shoop-worrall )
Kimme Hyrich - Research Explorer The University of Manchester( https://research.manchester.ac.uk/en/persons/kimme.hyrich )
Eligibility
This PhD would be attractive to candidates with experience and training in data science, and for those from an epidemiological or bioinformatics background looking to increase their knowledge and experience in data science. Applicants are expected to hold, or about to obtain, a minimum 2:1 undergraduate degree (or equivalent) in epidemiology, health statistics, health data science, bioinformatics or other related field. At least a merit at Master's degree in a relevant subject and/or experience in a related subject area/discipline is desirable.
Equality, Diversity and Inclusion
Equality, diversity and inclusion is fundamental to the success of The University of Manchester, and is at the heart of all of our activities. The full Equality, diversity and inclusion statement can be found on the website( https://www.bmh.manchester.ac.uk/study/research/getting-started/eligibility-and-entry-requirements/equality-diversity-inclusion/ ).
曼彻斯特大学（英国） (BBSRC NWD) Leveraging machine learning to uncover multimorbidity clusters in rheumatoid arthritis项目有没有奖学金，是不是全奖Phd招生，下面我们一起看一下【大学名称】Phd的奖学金资助情况
项目资助情况
We are only able to offer a limited number of full studentships to applicants outside the UK. Therefore, full studentships will only be awarded to exceptional quality international candidates due to the competitive nature of this scheme.
曼彻斯特大学（英国）Phd申请条件和要求都有哪些？(BBSRC NWD) Leveraging machine learning to uncover multimorbidity clusters in rheumatoid arthritis项目是不是全奖？有没有奖学金？下面我们一起看一下曼彻斯特大学（英国）申请Phd直招需要具备哪些条件和要求，以及托福、雅思语言成绩要到多少才能申请。
申请要求
This PhD would be attractive to candidates with experience and training in data science, and for those from an epidemiological or bioinformatics background looking to increase their knowledge and experience in data science. Applicants are expected to hold, or about to obtain, a minimum 2:1 undergraduate degree (or equivalent) in epidemiology, health statistics, health data science, bioinformatics or other related field. At least a merit at Master's degree in a relevant subject and/or experience in a related subject area/discipline is desirable.
International applicants
International applicants must ensure they meet the academic eligibility criteria (including English language) before applying. Visit our ‘Eligibility and entry requirements’ page( https://www.bmh.manchester.ac.uk/study/research/getting-started/eligibility-and-entry-requirements/#d.en.962069 ) to find out more about our English language requirements.
These studentships are available to UK and international applicants, and provide funding for tuition fees and stipend at the UKRI rate, subject to eligibility, for four years. This does not include any costs associated with relocation. This scheme is open to both the UK and international applicants.
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邮箱：fbmh.doctoralacademy.admissions@manchester.ac.uk
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