招聘簡介：

　　博士后研究員

　　炎癥研究中心

　　33199英鎊-39609pa英鎊-固定期限至2021年12月31日

　　愛丁堡大學(xué)，代謝組學(xué)和單細(xì)胞RNA測序綜合多組學(xué)分析的計算生物學(xué)家。

　　我們正在招募一位積極性很高的博士后研究員，他將專注于在代謝組學(xué)和單細(xì)胞RNA測序的綜合多組學(xué)分析領(lǐng)域的前沿計算方法的應(yīng)用和發(fā)展。成功的候選人將加入馮博士在炎癥研究中心（CIR）的小組，并將與位于遺傳學(xué)和分子醫(yī)學(xué)研究所（IGM）的龐汀教授小組和化學(xué)學(xué)院坎貝爾博士小組密切聯(lián)系。

　　Feng實驗室開發(fā)了一種斑馬魚模型，用于活體內(nèi)腫瘤前細(xì)胞（PNC）的活體成像和基因分析。該實驗室的目標(biāo)之一是通過使用scrnaseq分析充分描述譜系發(fā)育和細(xì)胞-細(xì)胞相互作用網(wǎng)絡(luò)的細(xì)節(jié)，來剖析調(diào)節(jié)宿主細(xì)胞如何與其生態(tài)位中初始PNC相互作用的機制。單細(xì)胞RNaseq數(shù)據(jù)也將與完整斑馬魚PNC生態(tài)位上成像質(zhì)譜（IMS）生成的代謝組學(xué)數(shù)據(jù)整合。

　　理想的候選者將有很強的計算背景，他們渴望在單細(xì)胞轉(zhuǎn)錄組學(xué)快速移動的領(lǐng)域中發(fā)展自己的技能和知識，渴望探索和建立集成多組學(xué)分析的新計算方法。你將應(yīng)用和發(fā)展計算方法，綜合分析單細(xì)胞轉(zhuǎn)錄組與代謝組學(xué)，以允許發(fā)現(xiàn)和詢問細(xì)胞亞群和細(xì)胞功能狀態(tài)在腫瘤開始。

　　優(yōu)秀的溝通技巧和探索計算生物學(xué)和實驗生物學(xué)之間的接口的真正熱情是必不可少的。

　　英文原文：

　　Postdoctoral Research Fellow

　　Centre for Inflammation Research

　　£33,199 – £39,609pa – fixed term until 31st December 2021

　　The University of Edinburgh, Computational Biologist in integrated multi-omic analysis of metabolomics and single cell RNA sequencing.

　　We are recruiting a highly motivated post-doctoral researcher who will focus on the application and development of cutting-edge computational methods in the area of integrated multi-Omic analysis of metabolomics and single-cell RNA sequencing. The successful candidate will join Dr Feng’s group in the Centre for Inflammation Research (CIR), and will link closely with Professor Ponting’s group based at the Institute of Genetics and Molecular Medicine (IGMM) and Dr Campbell’s group in the school of chemistry.

　　The Feng lab has developed a zebrafish model for in vivo live imaging and genetic analysis of pre-neoplastic cells (PNCs) in its initiating niche in vivo. One of the goals of the lab is to dissect mechanisms that regulate how host cells interact with the initial PNCs in its niche, by fully characterising details of lineage development and the cell-cell interaction network using scRNAseq analysis. The single cell RNAseq data will also be integrated with metabolomic data generated through Imaging Mass Spectrometry (IMS) on intact zebrafish PNC niche.

　　The ideal candidate will have a strong computational background who is keen to develop their skills and knowledge in the rapidly moving field of single cell transcriptomics, keen to explore and establish novel computational methods for integrated multi-Omic analysis. You will apply and develop computational methods for integrated analysis of single cell transcriptome with metabolomics, to allow discovery and interrogation of cellular subpopulations and cellular functional states during tumour initiation.

　　Excellent communication skills and a genuine enthusiasm for exploring the interface between computational and experimental biology is essential.

　　This post is available on a fixed term basis, with a working pattern of 35 hours per week until 31st December 2021.

　　Informal enquiries to: Yi Feng (yi.feng@ed.ac.uk) or Chris Ponting (chris.ponting@ed.ac.uk)

　　Reference: 045958

　　Closing Date: 13th June 2019

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