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Biomedical Sciences and Bioinformatics● OpenPreview

Fully Funded PhD Positions in Biomedical Sciences and AI at Karolinska Institute

Multiple fully funded doctoral positions at the Karolinska Institute bridging biomedical research, spatial omics, and artificial intelligence.

Best for:Best for ambitious life sciences and bioinformatics graduates with strong computational or molecular biology backgrounds seeking a rigorous PhD training program.

Karolinska Institute · Stockholm, Sweden · R1 · First-stage researcher
More professors at Karolinska Institute
spatial transcriptomicscomputational biologyartificial intelligenceimmunologyneurosciencetranslational psychiatry
Deadline
—
Funding
Salaried
Fully funded doctoral position
Start date
Autumn 2026
Fixed-term
Location
Stockholm
Sweden

Overview

The Karolinska Institute in Sweden offers multiple fully funded PhD student positions across various cutting-edge departments. The projects combine advanced experimental models with high-throughput technologies, single-cell and spatial transcriptomics, computational biology, and artificial intelligence. Successful candidates will work in interdisciplinary environments, formulate independent research hypotheses, conduct rigorous experiments, and contribute to scientific literature. The roles are designed to foster world-class scientific training through collaborative research teams and structured doctoral coursework.

PhDKarolinska Institutebioinformaticsspatial omicsmachine learningfully fundeddoctoral student

What you'll do

  • Formulate independent research questions and design comprehensive experimental strategies
  • Execute wet-lab experiments or develop computational and machine-learning workflows for multi-modal datasets
  • Analyze complex biological datasets including single-cell RNA-sequencing and spatial transcriptomics
  • Complete mandatory doctoral courses and actively participate in journal clubs and scientific seminars
  • Draft scientific manuscripts for publication in peer-reviewed journals
  • Present research findings regularly to both specialist and general academic audiences

Requirements

Degree required: Master of Science or equivalent degree in a relevant discipline

Degree offered: PhD

Language: English; strong written and verbal proficiency

Instruction: English

Required skills
  • Demonstrated background in molecular biology, bioinformatics, computer science, or a related field
  • Programming and computational data analysis capabilities
  • Strong motivation and genuine interest in biomedical or computational research
  • Ability to work effectively within collaborative and international research teams
Nice to have
Prior documented experience with wet-lab techniques or high-throughput genomicsExperience with deep learning or machine learning applications in biologyFamiliarity with spatial transcriptomics or single-cell sequencing analysis
Eligibility
  • Open to qualified international and domestic applicants meeting general doctoral admission criteria

Funding & terms

Type
Salaried
Amount
Fully funded doctoral position
Duration
4 years
Programme
KID / DDLS PhD program
Karolinska Institute

How to apply

Deadline: 2026-09-09

Interested candidates must review the specific project details and submit their application through the online recruitment portal before the stated deadlines.

Documents required
  • CV
  • Cover letter
  • Transcripts
  • Reference letters
↗Apply on site

Contact

Catharina Lavebratt· Principal Investigator

https://ki.se/personer/catharina-lavebratt

CL
Prof.
Catharina Lavebratt
Various Departments
Lab
Multiple Research Groups
Karolinska Institute
KID / DDLS PhD programSweden
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