亚洲无码午夜福利视频|日韩国产高清一区二区|欧美老熟妇XB水多毛多|狠狠色成人一区二区三区|在线观看国产精品露脸网站|在线观看一区二区三区视频|激情性无码视频在线观看动漫|99国产精品久久久久久久成人

  • <p id="eaae1"><ins id="eaae1"><optgroup id="eaae1"></optgroup></ins></p><i id="eaae1"><ins id="eaae1"></ins></i>
    
    

        <i id="eaae1"><ins id="eaae1"></ins></i>
      1. <source id="eaae1"></source>
        1. <small id="eaae1"></small>
      2. <i id="eaae1"><ins id="eaae1"></ins></i>
        1. 您的位置:中國(guó)博士人才網(wǎng) > 博士后招收 > 海外博士后招收 > 美國(guó)麻省理工學(xué)院和哈佛大學(xué)招收實(shí)驗(yàn)研究科學(xué)家

          關(guān)注微信

          美國(guó)麻省理工學(xué)院和哈佛大學(xué)招收實(shí)驗(yàn)研究科學(xué)家

          時(shí)間:2021-02-05來(lái)源:中國(guó)博士人才網(wǎng) 作者:佚名

          Broad Institute of MIT and Harvard

          OVERVIEW

          We are seeking an experimental research scientist to join the Cleary Lab at the Broad Institute in developing, testing and deploying a new framework for experimental design based on recent mathematical advances.

          This effort, led by Broad Fellow Dr. Brian Cleary, will seek to manifest theoretical insights from applied mathematics and computer science in new experimental modalities – in particular the execution of random experiments and composite experiments – to study tissue physiology, cellular pathways, combinatorial interactions, and human genetics.

          We are looking for a highly motivated individual to join our team in making fundamental advances in experimental biology, and discoveries in the organization and function of tissues, cellular pathways, and the mechanisms of disease. This team will develop and apply technologies combining microscopy and imaging transcriptomics, CRISPR, single-cell measurements, proteomics, and microfluidic automation.

          The Cleary Laboratory is a growing, interdisciplinary workplace at the interface of theory, computation and experimentation, and is seeking to hire an exceptional scientist who will work closely with both the Cleary Lab and collaborators throughout the Broad community, MIT, and Harvard.

          CHARACTERISTIC DUTIES

          •Lead and collaborate with scientists, postdoctoral and research associates to make fundamental advances in experimental design

          •Develop and apply experimental strategies of random composite experiments to functional omics techniques, including single-cell, transcriptomics, proteomics, CRISPR-based assays in human cells and tissues, and in situ omics

          •Lead collaborations in the application of new experimental designs to new biological systems and questions

          •Design and lead independent projects including developing methods, techniques and evaluation criteria for obtaining results

          •Make significant contributions to scientific papers, quantitative data analyses and presentations

          •Contribute to generation of protocols and data analyses

          •Work with multidisciplinary team to achieve project goals

          REQUIREMENTS

          •Ph.D. in Molecular Biology, Biochemistry, Genetics, Cell Biology, Systems Biology or related field

          •Additional 0-2+ years of relevant laboratory experience in academic or industry setting

          •Strong hands-on experience in molecular biology, genomics, and cellular biology (cell-based assays, primary and cell line culture)

          •Proven track record of critical scientific thinking, multi-tasking ability, and strong analytical and problem-solving skills

          •Excellent interpersonal and collaborative skills, and the ability to work both independently and as part of a team with scientists from a wide range of research expertise

          The ideal candidate will additionally have one or more of the following qualifications:

          •Experience with genome editing tools including CRISPR targeting in various human cell types

          •Experience with in situ hybridization, immunostaining, and histopathological imaging

          •Experience with microscopy and microfluidic automation

          •Experience with culture and manipulation of primary cells

          •Experience with quantitative data analysis and proficiency in computational methods and theory

          為防止簡(jiǎn)歷投遞丟失請(qǐng)抄送一份至:boshijob@126.com(郵件標(biāo)題格式:應(yīng)聘職位名稱+姓名+學(xué)歷+專業(yè)+中國(guó)博士人才網(wǎng))

          中國(guó)-博士人才網(wǎng)發(fā)布

          聲明提示:凡本網(wǎng)注明“來(lái)源:XXX”的文/圖等稿件,本網(wǎng)轉(zhuǎn)載出于傳遞更多信息及方便產(chǎn)業(yè)探討之目的,并不意味著本站贊同其觀點(diǎn)或證實(shí)其內(nèi)容的真實(shí)性,文章內(nèi)容僅供參考。

          相關(guān)文章
          莫力| 岑巩县| 利津县| 华阴市| 望谟县| 贵州省| 桂阳县| 溆浦县| 隆回县| 湾仔区| 扶绥县| 平乡县| SHOW| 曲麻莱县| 汝州市| 郓城县| 油尖旺区| 壶关县| 安图县| 四子王旗| 泌阳县| 罗平县| 三原县| 纳雍县| 甘泉县| 利辛县| 凤阳县| 阜新市| 正镶白旗| 新昌县| 香河县| 临湘市| 同德县| 永修县| 建始县| 微博| 苍山县| 湖州市| 汨罗市| 长治市| 焉耆|