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丹麦哥本哈根大学2021年招聘博士后职位(生物信息学、元基因组学、微生物网络生物学方向)

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丹麦哥本哈根大学2021年招聘博士后职位(生物信息学、元基因组学、微生物网络生物学方向)

Postdoc In Bioinformatics And Metagenomics Of The Phyllosphere Microbiome

Copenhagen University

Description

The Department of Plant and Environmental Science (PLEN) and the Novo Nordisk Foundation Center for Protein Research (CPR) invite applications for a joint two-year postdoc position within the field of bioinformatics, metagenomics, network biology and potentially machine learning with start August 1st 2021, or as soon as possible thereafter. The position will be equally shared among The Section for Microbial Ecology and Biotechnology, Environmental Microbial Genomics Group, PLEN, led by Professor Lars Hestbjerg Hansen and The Rasmussen Group, CPR, led by Associate Professor Simon Rasmussen.

The position is advertised in connection to a newly established multidisciplinary program, The MA T RIX: “ M icrobiome Assisted T riticum R esilience I n X -dimensions”, funded by the Novo Nordisk Foundation, to address the taxonomic diversity and functional potential of the wheat phyllosphere microbiome. Today, more than one third of crop yields are lost due to abiotic and biotic stress factors, such as drought, salinity, pests and disease. In the MA T RIX program several key microorganisms and regulatory mechanisms involved in wheat growth promotion and protection against biotic and abiotic stresses will be identified. By combining new microbiome-assisted approaches with machine learning and predictive modelling the MA T RIX aims to quantitate and predict microbiome-mediated changes and their effect on wheat resilience and productivity under various climate change scenarios, which can be used as a novel tool to improve future wheat yield management strategies.

The candidate will be expected to conduct independent research within metagenomics, microbial network biology, machine learning and integration of multiple data types obtained from the wheat flag leaf microbiome. The candidate is expected to some degree to engage in teaching and supervision and the post may also include performance of other duties.

Candidates must have a Ph.D. or similar qualifications within computational biology, microbiology, metagenomic analysis, network analysis, machine learning applied to microbiology or other relevant research fields. Experience in programming in bash/Unix, R or python is strongly desirable. Also, experience within the field of plant-associated microbiomes is an advantage.

The candidate is expected to be enthusiastic about working in an interdisciplinary academic environment conduction research and teaching at the highest international level. The position, therefore, requires a highly motivated scientist who is comfortable working in teams, have good interpersonal skills, as well as a collaborative and open mind-set.

Further information on the Faculties is linked at https: // www. science.ku.dk/english/about-the-faculty/organisation/ and https: // healthsciences.ku.dk/about/organisation/. More information on the MA T RIX project is linked at https: // plen.ku.dk/english/research/microbial- ecology-and-biotechnology/environmental-microbial-genomics/microbiome- assisted-triticum-resilience-in-x-dimensions-the-matrix/.

Inquiries about the position can be made to Prof. Lars Hestbjerg Hansen; e-mail: lhha@plen.ku.dk, or Associate Prof. Simon Rasmussen; e-mail: simon.rasmussen@cpr.ku.dk.

The position is open from August 1st 2021 or as soon as possible thereafter.

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

Terms of employment The position is covered by the Memorandum on Job Structure for Academic Staff. Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State. The starting salary is currently up to DKK 437.843 including annual supplement (+ pension up to DKK 74.871). Negotiation for salary supplement is possible.

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