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KTH Royal Institute of Technology
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Postdoc in Bioinformatics and Adipose Tissue Biology KTH Royal Institute of Technology in Sweden
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Deadline
Dec 1, 2026
Country
Sweden
University
KTH Royal Institute of Technology
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About this position
This postdoctoral position at KTH Royal Institute of Technology sits at the intersection of bioinformatics, adipose tissue biology, and metabolic disease research. The successful candidate will analyse large-scale single-cell and spatial transcriptomics data, together with other omics datasets from human adipose tissue, to investigate tissue cellular composition, metabolic function, and links to obesity, type 2 diabetes, and related diseases.
The post is embedded in the Applied Genomics research group at KTH and involves close collaboration with clinical and experimental researchers working on metabolic disease. The role is research-intensive and includes building and maintaining analysis pipelines, databases, and web-based resources designed to make clinical and experimental data accessible to the broader research community.
Day-to-day work will involve analysing and interpreting complex datasets, presenting findings at research meetings and international conferences, writing scientific papers, and contributing to research grant applications. The position also includes some mentoring of PhD and Master's students, offering experience in a collaborative and interdisciplinary research environment.
KTH presents the role within a strong international technical university setting that emphasises research, innovation, and cross-disciplinary work. The advertisement highlights a creative and dynamic environment and an active research culture connected to sustainable societal development and equal opportunities.
Funding details
Available
What's required
Applicants must hold a doctoral degree or an equivalent foreign degree by the time the employment decision is made, with the degree in bioinformatics, computational biology, systems biology, genetics, molecular biology, medical science, or a related field. Candidates should have documented experience analysing single-cell and/or spatial transcriptomics data, strong programming skills in R and/or Python, experience working with large-scale biological datasets in Linux or HPC environments, and fluency in spoken and written English. The advert also seeks research expertise shown through publications in bioinformatics, computational biology, or adipose tissue/metabolism research, strong collaboration and communication skills, ability to work independently, and awareness of diversity and equal opportunity issues with a focus on gender equality. Preferred qualifications include a PhD obtained within the last three years, experience in adipose tissue biology or metabolic disease research, development of bioinformatic tools/databases/web resources, multi-omics integration, international consortium experience, first-author publications, and teaching or supervision experience.
How to apply
Apply through KTH's recruitment system via the application link. Submit a CV, copies of diplomas and grades, translations if needed, and a brief two-page account of your research motivation, academic interests, and future goals. Ensure the complete application is received by midnight CET/CEST on the deadline date.
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Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.