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Henrik Thilander
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PhD position in Bioinformatics for AI-based Data Analysis in Precision Medicine University of Skövde in Sweden
Degree Level
PhD
Field of study
Computer Science
Funding
The project is funded within the research profile 'AI-driven precision medicine' by Stiftelsen för kunskaps- och kompetensutveckling. The employment follows a local doctoral salary scale; the post is a fixed-term PhD position up to 4.5 years at 100% with 90% research studies and 10% departmental duties.
Deadline
Nov 16, 2026
Country
Sweden
University
University of Skövde
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About this position
The University of Skövde is advertising a doctoral position in bioinformatics focused on AI-based data analysis for precision medicine. The student will join the Translational Bioinformatics research group, which develops methods and tools for large-scale data analysis in the life sciences.
The project centers on building new approaches for precision medicine, with a particular emphasis on bioinformatic analysis of large-scale omics data. The research combines experimental work with advanced computational analysis and explores explainable AI and model interpretation. The advertised project sits within the research profile AI-driven precision medicine and is described as a collaboration between academia and industry.
Research activities will be carried out at University of Skövde and Sahlgrenska University Hospital in Gothenburg. The doctoral education will be within bioinformatics at the University of Skövde, while the degree will be awarded in medicine in collaboration with University of Gothenburg.
The institution presents itself as a strong regional, national, and international education and research environment, and the Department of Biosciences highlights its broad collaboration across education, research, industry, and society. The position is therefore rooted in an interdisciplinary setting spanning biosciences, computational methods, and translational medical research.
The role includes research, departmental duties, and related administrative tasks as part of the doctoral employment.
Funding details
The project is funded within the research profile 'AI-driven precision medicine' by Stiftelsen för kunskaps- och kompetensutveckling. The employment follows a local doctoral salary scale; the post is a fixed-term PhD position up to 4.5 years at 100% with 90% research studies and 10% departmental duties.
What's required
Basic eligibility for doctoral studies requires an advanced degree, or completed course requirements of at least 240 higher education credits of which at least 60 are at advanced level, or equivalent knowledge gained in Sweden or abroad. Specific eligibility for doctoral education in medical science requires approved English B/6 or equivalent knowledge assessed according to the Swedish Council for Higher Education's recommendations. Strong consideration is given to documented ability to succeed in doctoral studies, good collaboration skills, and the ability to work independently and in groups. Preferred qualifications include practical laboratory experience with molecular biology methods such as qPCR and western blot, experience with statistics, bioinformatics and data visualization using R, Python and Nextflow, and experience with HPC, TensorFlow, PyTorch, Keras, variational autoencoders, explainable AI methods such as SHAP and Integrated Gradients, and omics analysis including single-cell RNA-seq and proteomics.
How to apply
Apply through the university website by clicking 'Ansök' in the advert. Submit a cover letter in English describing your research interests and expectations for doctoral studies, plus CV, certificates/transcripts, degree certificate, master’s thesis, and any publications. If publications cannot be uploaded electronically, email HR so they reach the university no later than one week after the deadline.
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Professors
Project Leader at University of Skövde
Sweden
Research Interests
Artificial Intelligence
Statistics
Bioinformatic
Precision Medicine
Explainable Ai
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Prepare your application
Review drafts and confirm requirements with the university.