University of Copenhagen
2 months ago
PhD Fellowship or Postdoctoral Position in Brain Tumor Bioinformatics at University of Copenhagen University of Copenhagen in Denmark
Degree Level
PhD, Postdoc
Field of study
Computer Science
Funding
The position is a fixed-term, full-time appointment for 3 years. Salary, pension, and employment conditions are in accordance with the Danish Region’s guidelines. No specific stipend amount or tuition coverage is mentioned.
Deadline
Expired
Country
Denmark
University
University of Copenhagen

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About this position
The University of Copenhagen is offering a PhD fellowship or postdoctoral position in brain tumor bioinformatics at the Biotech Research and Innovation Center (BRIC), commencing March 2026. The successful candidate will join Professor Bjarne Winther Kristensen’s research group, which focuses on understanding how the tumor microenvironment influences brain tumor aggressiveness and therapy response, with a particular emphasis on glioblastoma. The group employs advanced bioinformatics and cutting-edge spatial transcriptomics technologies to analyze tumor cells and their microenvironment in both patient samples and animal models, correlating findings with clinical outcomes.
The research environment is highly collaborative and international, providing excellent opportunities for academic and research career growth. The main tasks involve integrative analysis of genomics and neuro-oncology data, with a strong emphasis on computational and translational research. Candidates will work with multi-disciplinary teams and have access to modern laboratories and spatial analysis platforms.
Applicants must hold an MD or a master’s degree in a relevant field such as human biology, neuroimmunology, or bioinformatics for the PhD position, or a PhD in a related area for the postdoc. The degree must be equivalent to a Danish two-year master’s. Documented experience in the project area, such as data analysis of high-plex spatial transcriptomics, single-cell/nuclei RNA sequencing, or proficiency in R or Python, is required. Additional selection criteria include GPA, professional qualifications, previous publications, relevant work experience, other professional activities, a strong interest in brain tumor biology, and language skills.
The position is full-time and fixed-term for three years, with salary and employment conditions following Danish Region’s guidelines. The application deadline is 31 December 2025. Applications must be submitted electronically and include a motivation letter, CV, certified copies of degrees, academic transcripts, publication list, and optional recommendation letters. For more information, visit the official vacancy page or contact Professor Bjarne Winther Kristensen at [email protected].
Keywords: brain tumor bioinformatics, glioblastoma, spatial transcriptomics, neuro-oncology, genomics, computational biology, data-driven research, neuroimmunology, human biology.
Funding details
The position is a fixed-term, full-time appointment for 3 years. Salary, pension, and employment conditions are in accordance with the Danish Region’s guidelines. No specific stipend amount or tuition coverage is mentioned.
What's required
Applicants must have qualifications corresponding to an MD or a master's degree in a relevant field such as human biology, neuroimmunology, or bioinformatics for the PhD position, or a PhD in a relevant field for the postdoc. The master's degree must be equivalent to a Danish two-year master's. Candidates should have documented experience in the project area, experience with data analysis of high-plex spatial transcriptomics or single-cell/nuclei RNA sequencing, or proficiency in R or Python. Additional criteria include GPA, professional qualifications, previous publications, relevant work experience, other professional activities, a strong interest in brain tumor biology, and language skills.
How to apply
Submit your application electronically via the University of Copenhagen job portal by clicking 'Apply now' before 31 December 2025. Include a motivation letter, CV, certified copies of degrees, academic transcripts, publication list, and optional recommendation letters. Late or incomplete applications will not be considered.
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