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 > 意大利人類技術(shù)中心(HT)2024年招聘博士后(泛基因組學(xué))

          關(guān)注微信

          意大利人類技術(shù)中心(HT)2024年招聘博士后(泛基因組學(xué))

          時(shí)間:2024-12-19來(lái)源:中國(guó)博士人才網(wǎng) 作者:佚名

          意大利人類技術(shù)中心(HT)2024年招聘博士后(泛基因組學(xué))

          意大利技術(shù)研究院(IIT)是一家由意大利政府直接資助的創(chuàng)新型研究機(jī)構(gòu),受意大利經(jīng)濟(jì)財(cái)政部(MEF)和意大利教育大學(xué)科研部(MIUR)監(jiān)督。

          Postdoc in Pangenomes - Soranzo group, Genomics Research Centre

          Employer

          Human Technopole

          Location

          Milan (IT)

          Salary

          40k euros

          Closing date

          10 Jan 2025

          Human Technopole (HT) is an interdisciplinary life science research institute, created and supported by the Italian Government, with the aim of developing innovative strategies to improve human health. HT is composed of five Centers: Neurogenomics, Computational Biology, Structural Biology, Genomics, and Health Data Science. The Centers work together to enable interdisciplinary research and to create an open, collaborative environment that will help promote life science research both nationally and internationally.

          Human Technopole is looking for a Postdoc in the research group of Prof. Nicole Soranzo, the head of the Genomics Research Centre. The laboratory is focused on developing and deploying large-scale genomics technologies to understand various facets of genetic predisposition to common complex diseases and disease biology in human populations. We focus on blood and immunity and a broad set of human genetics questions.

          For this post, we are seeking a highly motivated scientist with a strong interest in pangenomics and human biology. The successful candidate will work on cutting-edge computational projects that leverage human pangenome graphs to elucidate complex regions pertinent to immunology and evolutionary biology. This role involves assembling newly generated long-read sequencing data and integrating them into pangenome graphs as part of the Human Pangenome Reference Consortium (HPRC). Additionally, the project includes the development and benchmarking of novel computational methods for genotyping complex regions across biobank-scale datasets.

          The suitable candidate will work closely with a dynamic team of people at the Population and Medical Genomics Centre and will also have regular and sustained collaboration with an international team of researchers from the University of Tennessee (Dr. A. Guarracino, Prof. E. Garrison) and the University of California, Berkeley (Prof. Peter Sudmant). Applicants from underrepresented groups are particularly encouraged to apply.

          Key Tasks and Responsibilities:

          Develop and implement a research project based on latest advances in the Human Pangenome fielD

          Manage experimental and analytical workflows within their project;

          Implement, benchmark and run long-read sequencing/pangenome workflows and pipelines;

          Generate reliable data for publication in their project and recording all data and results in specified forms (paper and electronic);

          Publish reproducible research;

          Supervise master’s and PhD students;

          Present, share and discuss research results within their group, collaborators and scientific conferences;

          Proactive interaction with the research team, the Genome Analysis Unit, the Biostatistics Unit and the Genomics Facility

          Mandatory requirements:

          PhD in Genomics, Bioinformatics, Computational Biology, Genetics or related fields;

          Experience working with human genetics data;

          Experience in analysing long-read sequencing technologies (e.g. PacBio/ONT) and their outputs;

          Strong experience working with genomic data in a HPC environment;

          Proven scientific track record, such as publications in journals or conferences;

          Advanced programming skills in scripting (e.g. R/Python);

          Fluency in English – HT is an international research institute.

          Preferred requirements:

          Previous work with de novo genome assemblies, genotyping methods and pangenome workflows;

          Familiarity with standard tools for genomic and pangenomic analysis,

          Familiarity with genome assembly methods and chromatin-conformation (e.g. Hi-C/Omni-C) data;

          Experience with variant calling methods for the identification of human genetic variants from long-read sequencing data;

          Knowledge of compiled (e.g. Go/Rust/C) languages;

          Experience or interest in git and other good software development practices.

          Familiarity with human genetics, GWAS or computational biology workflows and tooling more broadly

          Experience in the core areas of responsibility, with a strong focus on one or more of the following: large-scale population genomic studies, human genomics or genetics.

          Organizational and social skills:

          Ability to interact effectively with other colleagues and work synergistically to drive projects forward;

          Collaborative and kind personality;

          A willingness to help more junior members of the team grow;

          Ability to manage competing priorities in a fast-paced environment and to work independently;

          Ability to build trust through operating with transparency and creating an open and positive environment;

          Ability to work in a multi-cultural, multi-ethnic environment with sensitivity and respect for diversity;

          Ability to manage competing priorities in a fast-paced environment and to work independently;

          Strong interpersonal skills demonstrated by the ability to lead and gain the assistance and cooperation of others in a team endeavour.

          Application Instructions

          To apply, please send the following:

          a CV

          a motivation letter in English relating your track record to the specifics of the call

          names and contacts of at least 2 referees

          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
          克什克腾旗| 紫阳县| 金阳县| 翁源县| 榆社县| 化隆| 城固县| 磐石市| 治县。| 汪清县| 万年县| 福贡县| 清水县| 台江县| 邯郸市| 台山市| 裕民县| 成武县| 育儿| 西充县| 扬中市| 正镶白旗| 台中市| 获嘉县| 江永县| 犍为县| 西充县| 大连市| 仙居县| 石嘴山市| 庆安县| 深水埗区| 精河县| 邛崃市| 乌鲁木齐市| 晴隆县| 互助| 乌拉特后旗| 铜鼓县| 石屏县| 剑川县|