扫描二维码关注“博士后招聘网”微信订阅号或微信搜一搜“博士后招聘网”关注我们。
当前位置: 博士后招聘网 > 国外博士后招聘 > 澳大利亚墨尔本大学2022年招聘博士后职位(生物信息学)

澳大利亚墨尔本大学2022年招聘博士后职位(生物信息学)

信息来源:未知 | 作者:admin | 时间:2022-01-21 10:40

【简介】博士后招聘网整理分享“澳大利亚墨尔本大学2022年招聘博士后职位(生物信息学)”,浏览查询更多博士后招聘计划请访问博士后招聘网

澳大利亚墨尔本大学2022年招聘博士后职位(生物信息学)

Research Fellow, Bioinformatics

University of Melbourne

Description

About the Role The Peter Doherty Institute for Infection and Immunity (Doherty Institute) is internationally renowned for its cutting-edge studies of infectious diseases and immunity, as highlighted during the COVID-19 pandemic. To support ongoing and new research activities at the Doherty Institute, a new Computational Sciences Initiative has been formed. This is to provide new resources for computational and data sciences, incorporating bioinformatics, biostatistics, infectious disease modelling and artificial intelligence.

As part of the Institute's Computational Sciences Initiative, a Research Fellow is required to drive computational and statistical analysis of multi- omics datasets, applied to the areas of infectious diseases and immunology. The candidate will be self-motivated and develop a strong program of collaborative projects with other researchers in the Doherty Institute. This is anticipated to generate substantial new scientific discovery in areas spanning Immunology and Microbiology pursued in the institute. It will also facilitate the development of novel approaches in bioinformatics, particularly in the application of mathematical and computational techniques to analyse data from new and emerging ‘omic' technologies, including genomics, epigenomics, transcriptomics, proteomics, and metabolomics. Talented, highly motivated, computer scientists with an interest in infection and immunity are encouraged to apply

About You

PhD in bioinformatics, statistivs, computer science or a related field

Demonstrated ability to communicate across teams and disciplines (biology and computer science), work as a member of a research team, and interact in a courteous, collaborative and effective manner with academic, administrative and support staff

Experience in running bioinformatics workflows on high-performance computing clusters

Experience in analysis of high-dimensional datasets, ideally those arising from high-throughput molecular assays

Strong organisation skills and accurate recording and analysis of data generated from research undertaken

Demonstrated experience in using initiative, working with minimal supervision and ability to prioritise tasks to achieve project objectives within timelines

Excellent verbal and written communication skills, demonstrated by presentation of research results at internal forums, conferences, and through manuscript submissions, inclusive of manuscripts posted to preprint servers

Experience in the following would be desirable: analysing single cell RNAseq datasets; integrating different high-dimensional datasets and multi-omics analyses; developing bioinformatics pipelines and/or software packages; cloud computing; machine learning or statistics; supervising students or research staff; and fundamental understanding and prior exposure to concepts in immunology and/or microbiology.

Benefits of Working with Us In addition to having the opportunity to grow and be challenged, and to be part of a vibrant campus life, our people enjoy a range of rewarding benefits:

Flexible working arrangements and generous personal, parental and cultural leave

Competitive remuneration, 17% super, salary packaging and leave loading

Free and subsidised health and wellbeing services, and access to fitness and cultural clubs

Discounts on a wide range of products and services including Myki cards and Qantas Club

Career development opportunities and 25% off graduate courses for staff and their immediate families

To find out more, please visit https: // about.unimelb.edu.au/careers/staff- benefits.

Be Yourself At UoM, we value the unique backgrounds, experiences and contributions that each person brings to our community, and we encourage and celebrate diversity. Indigenous Australians, those identifying as LGBTQIA+, females, people of all ages and culturally diverse backgrounds are encouraged to apply for our roles. Our aim is to create a workforce that reflects the community in which we live.

Join Us! If you feel this role is right for you, please submit your application including a brief cover letter, your resume and your responses against the selection criteria (found in the Position Description) for the role.

For information to help you with compiling short statements to answer the selection criteria and competencies, please go to https:// about.unimelb.edu.au/careers/selection-criteria

Should you require any reasonable adjustments with the recruitment process, please contact the Talent Acquisition team at hr-talent@unimelb.edu.au.

更多最新博士后招收信息请关注博士后招聘网微信公众号(ID:boshihoujob)

请您在邮件申请时在标题注明信息来自:博士后招聘网-boshihoujob.com,电话咨询时说明从博士后招聘网(www.boshihoujob.com)看到的博士后招聘信息。

声明:凡本网注明“来源:XXX”的文/图等稿件,本网转载出于传递更多信息及方便产业探讨之目的,并不意味着本站赞同其观点或证实其内容的真实性,文章内容仅供参考。如其他媒体、网站或个人从本网站转载使用,须保留本网站注明的“来源”,并自负版权等法律责任。作者如果不希望被转载或者联系转载等事宜,请与我们联系。邮箱:boshihoujob@163.com。

博士后招聘网微信公众号

博士后招聘网微信公众号

扫描二维码关注公众号,ID:boshihoujob

发布博士后招聘信息 加入博士人才库

博士&博士后社群

  • 博士后招聘1号群
    799173148

  • 博士后招聘2号群
    373726562

  • 哲学博士群
    934079716

  • 经济学博士群
    945762011

  • 法学博士群
    934096817

  • 教育学博士群
    934118244

  • 文学博士群
    934106321

  • 历史学博士群
    945803407

  • 理学博士群
    934102752

  • 工学博士群
    945827064

  • 农学博士群
    114347294

  • 医学博士群
    729811942

  • 管理学博士群
    797229360

Copyright©2018-2023 博士后招聘网(boshihoujob.com) 版权所有 皖ICP备18007485号-1 皖公网安备 34070202000340号

本网站所有资讯内容、广告信息,未经书面同意,不得转载。

博士后招聘网(www.boshihoujob.com)专注服务于海内外博士后研究人员。

博士后招收信息发布请联系邮箱boshihoujob@163.com,QQ:878065319,微信号:bshjob001。
联系时请注明单位名称(如:单位名称+博士后招收信息发布)。