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德國慕尼黑理工大學(xué)博士后職位---轉(zhuǎn)化基因組學(xué)

時(shí)間:2022-02-17來源:中國博士人才網(wǎng) 作者:佚名

Postdoctoral Researcher (m/f/d)

Technische Universität München

Description

We are the Klinikum rechts der Isar (MRI) Hospital of Munich Technical University (TUM) and a reliable employer of around 6,600 people. Being a university hospital, we not only look after our patients but, based on our motto “Knowledge Creates Cures” (Wissen schafft Heilung), we are also engaged in research and teaching, enjoying an excellent national as well as international reputation. 160 different professional groups work hand in hand to ensure that our patients receive the best possible treatment.

The Chair of Translational Genomics (Prof. Dr. Eleftheria Zeggini) has a vacancy for a

Postdoctoral Researcher (m/f/d)

Obesity, and ensuing type 2 diabetes mellitus (T2D) represent a major health challenge for modern healthcare systems. Childhood obesity can appear as early as 3-5 years of age, and once developed has a >90% likelihood to persist. The aim of this project is to couple genetic with multi-omics data to describe disease trajectories in childhood obesity and discover mechanistic pathways involved in disease onset and progression. The successful applicant will work on >400 samples from the Leipzig Adipose tissue childhood biobank, where chromatin conformation data, RNA-sequencing, quantitative proteomics and methylation typing data are being generated in adipose tissue along with genotyping data.

Your responsibilities:

  Perform eQTL, pQTL and meQTL discovery, as well as meta-analysis with public datasets;

  Examine correlations between omics profiles and metabolic dysfunction;

  Fine-map established diabetes and obesity-associated variants (e.g. using eQTL colocalization);

  Perform pathway and variant class enrichment analysis.

Your profile:

  A degree in Human or Statistical Genetics, Bioinformatics, or a related field;

  Experience with GWAS data, RNA-Seq or other omics is desirable;

  Practical experience of data analysis and visualisation with R or Python;

  Familiarity with NIX environments and the bash scripting language;

  Knowledge of basic bioinformatics resources (Ensembl, the GWAS Catalog, genome annotation and expression databases…);

  Familiarity with common statistical genetics tools (e.g. plink, bcftools);

  Spoken and written fluency in English.

We offer you:

  A varied and professionally demanding position in a state-of-the-art working environment

  Comprehensive on-the-job training provided by experienced and qualified colleagues

  The opportunity to take part in internal and external professional development courses

  A good work-life balance with flexitime and 38.5 weekly working hours

  Benefits in the form of specially discounted public transport tickets for trains/buses/underground trains/trams

  Employee saving schemes and company pension system

  Compatibility of family and work through our in-house kindergarten/crèche, additional childcare in family rooms, mobile KidsBox day care facility and childcare during school holidays

  Performance-related salary in accordance with the TV-L public-sector salary scale plus attractive benefits offered to public- sector employees

  The position is limited to 2 years, to start by agreement.

In general, a full-time position can also be filled on a part-time basis. If the candidates' suitability for the position in question is equal, severely disabled applicants shall be given preference. Interview-related costs can, unfortunately, not be reimbursed.

We look forward to your application! Please send your application documents (motivation letter, CV, references and certificates) by email as a PDF file, quoting 1404, by 31.03.2022 at the latest to the following email address: iris.fischer@tum.de.

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