丹麦哥本哈根大学博士后—生物信息学及遗传流行病学

丹麦哥本哈根大学博士后—生物信息学及遗传流行病学

哥本哈根大学 （英文: University of Copenhagen; 丹麦文: Københavns Universitet；简称：UCPH / KU）坐落于丹麦王国首都哥本哈根，是丹麦最高学府，4EU＋联盟、国际研究型大学联盟、欧洲研究型大学联盟、欧洲首都大学联盟、欧洲大学协会成员。大学建于1479年，已有500多年历史，从最初只对社会名流开放，现已发展成一所学科全面、集教育与科研于一身的世界研究型大学。

Postdoctoral Fellowship in bioinformatics and genetic epidemiology

Copenhagen University

Postdoctoral Fellowship in bioinformatics and genetic epidemiology

A two-year postdoctoral fellowship is available at the Section for Computational and RNA Biology, Department of Biology, University of Copenhagen. The position will be available from July 1st, 2024 or thereafter and there is possibility of extending after the two years. The specific projects involve analyzing large amounts of multi-omic data from several ethnic groups, including Danes, Pakistani and Greenlanders. The multi-omic data include whole genome sequencing, RNA sequencing data, gut microbiome, proteomics and metabolomics data. Depending on the interests of the successful applicant, the focus will be either on comparing different ethnic groups or on the Greenlandic population where we have both multi-omic data, deep phenotype data and whole genome data for a large cohort. It is also possible to work on related method development depending on the wishes of the applicant.

The projects are part of a series of large-scale genetic studies in the Greenlandic population and other ethnic groups with the aim of unravelling the role of genetics, diet, physical activity, and the gut microbiome in metabolic health and disease, both separately and in interaction. The applicants are expected to collaborate on several other projects as well.

Key publication relevant for the Greenlandic study

Moltke et al. Nature, 2014 512(7513);190-3

Moltke et al. Am. J. Hum. Genet.: 2015, 96(1);54-69

Fumagalli et al. Science, 2016 , 349(6254);1343-7

Grarup et al. Nature Genetics 2018, 50(2);172-174

Waples et al. Current Biology 2021,31(10):2214-2219

Andersen et al. Gastroenterology 2022; 162(4):1171-8

Jørsboe et al. HGG Adv: 2022, 3(4);100118

Thuesen et al. Lancet Reg Health Eur: 2023, 24;100529

Research environments

The position is in the group of professor Anders Albrechtsen who is working in applied statistical and computational approaches for analysis of large scale genomic data including methods for association studies, methods for detecting and correcting for population stratification, detecting selection on disease susceptibility genes, and various topics for analysis of large scale sequencing data. For more information see www. popgen.dk

In addition, the projects that the successful candidate will be working on are a part of a collaboration with the clinical group of Dr professor Torben Hansen, who works with genetic, microbiome and metabolome studies in monogenic diabetes, childhood obesity and large-scale genetic epidemiology studies. For more information see tinyurl.com/ycx833rt

Finally, the group of Anders Albrechtsen is a part of a metagroup with 3 other PIs (https: // website.popgen.dk/popgengroup/ ), which has a lot of cross- group collaborative projects and a great social environment. The group is located in the recently built Biocenter (https: // www. biocenter.ku.dk/) in central Copenhagen, Denmark – a city that is ranked as on of the most livable cities in the world.

Qualifications

The postdoc will be expected to participate both in the bioinformatics analysis of sequencing data as well as in the interpretation, writing and leading the projects. Flexibility in the tasks is possible depending on the skills and interests of the candidate.

To be considered, applicants must:

Have a PhD in bioinformatics, quantitative genetics, population genetics, statistical genetics or a similar field

Have experience in working with high throughput sequencing data or experience with handling of high dimensional data

Skills of additional interest include (but not required):

Experience in population genetics

Experience with GWAS

Experience with multi-omic data

Experience in statistics

Experience with running analyses using HPC

Experience using BASH, R, python or C/C++

Experience with analyses of high-dimensional data

The working language is English, thus good English speaking, reading and writing skills are required.

For further information please contact Anders Albrechtsen (aalbrechtsen@bio.ku.dk)

Application

The application, in English, must be submitted electronically by clicking APPLY NOW below no later than 1 April 2024 23:59 GMT+2

Please include:

Cover letter (half to one page)

Curriculum vita

Diplomas (Master and PhD degree or equivalent)

Complete publication list

After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee.

You can read about the recruitment process at https: // employment.ku.dk/faculty/recruitment-process/

University of Copenhagen wish to reflect the diversity of society and welcome applications from all qualified candidates regardless of age, disability, gender, nationality, race, religion or sexual orientation. Appointment will be based on merit alone.

Part of the International Alliance of Research Universities (IARU), and among Europe's top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career.

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