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Haja Kadarmideen

4 months ago

Two-year Postdoc in Bioinformatics and Genomic Epidemiology at Aarhus University Aarhus University in Denmark

Degree Level

Postdoc

Field of study

Computer Science

Funding

Fixed-term full-time postdoctoral position for 2 years at Aarhus University. Salary depends on seniority according to the Danish collective labour agreement; no stipend amount is stated. The post is linked to EU Partnership Animal Health & Welfare projects.

Deadline

Expired

Country flag

Country

Denmark

University

Aarhus University

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Keywords

Computer Science
Data Science
Machine Learning
Epidemiology
Microbiology
Deep Learning
Biology
Veterinary Science
Animal Husbandry
Antibiotic Resistance
Medical Science
Salud Pública
Genetic Epidemiology
Omics
Statistics
Bioinformatic

About this position

Two-year postdoctoral position at Aarhus University in Bioinformatics and Genomic Epidemiology, hosted by the Department of Animal and Veterinary Sciences (ANIVET) in the Management and Modelling (MAMO) research group.

The post is centered on multiomics, bioinformatics, genomic epidemiology, microbiology, antimicrobial resistance (AMR), metagenomics, data science, and animal health. The successful candidate will work on EU Partnership Animal Health & Welfare projects, integrating epidemiological, clinical, molecular, genomic, and metagenomic data from farm and companion animals.

Research tasks include analysis of whole-genome and metagenomic datasets, pathogen surveillance, AMR gene identification, mobile genetic elements, genome-to-phenome analysis, and development of robust bioinformatics pipelines for phylogenomic and epidemio-genomic workflows. The role also includes use of AI, machine learning, and deep learning, plus implementation on HPC or cloud infrastructure.

Eligibility: applicants must hold a PhD in bioinformatics, genomic epidemiology, data science (AI/ML), or a related area with a focus on animal health, microbiology, disease control, or production traits. Strong experience with biostatistics, genomic and metagenomic sequence analysis, QA/QC tools, R, Python, UNIX, and Bash is expected. Experience with G2P or genomic epidemiology using ML/DL is an advantage.

The position is full-time, fixed-term, and expected to start on 1 October 2026 or shortly thereafter, running until 30 September 2028. The application deadline is 28 June 2026 at 23:59 CEST.

Application materials must be submitted in English and include a CV, degree certificate, publication list, future research plan, research activity information, teaching portfolio, and verified teaching experience if any. The post also involves teaching contributions and supervision of MSc and PhD students.

Contacts for further information: Professor Haja Kadarmideen and Professor Karl Pedersen at Aarhus University.

Funding details

Fixed-term full-time postdoctoral position for 2 years at Aarhus University. Salary depends on seniority according to the Danish collective labour agreement; no stipend amount is stated. The post is linked to EU Partnership Animal Health & Welfare projects.

What's required

Applicants must have a PhD in bioinformatics, genomic epidemiology, data science (AI/ML), or a similar field with a focus on animal health, microbiology, disease control, or production traits. Strong experience is required in biostatistical and bioinformatic analysis of multiomics datasets, including genomic SNP genotype or WES/WGS data and metagenomic 16S rRNA and WGS sequence data. Experience with machine learning and deep learning for genome-to-phenome or genomic epidemiology analyses is an asset. Applicants should have experience with QA/QC tools and bioinformatics pipelines for 16S rRNA and WGS pathogen data, advanced programming skills in R and Python, and proficiency in UNIX and Bash scripting. The role also expects contribution to project management, presentations, publications, grant applications, teaching, and supervision of MSc and PhD students.

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Professors

Professor

University Name
Country flag

Denmark

Research Interests

Statistics

Biostatistics

Data Science

Comparative Transcriptomics

Biology

Professor

University Name
Country flag

Denmark

Research Interests

Microbiology

Veterinary Pathology

Antibiotic Resistance

Veterinary Science

Antibiotic Therapy