- Applicants must hold a master's degree or equivalent education in informatics, machine learning, bioinformatics, or related discipline, with several years of experience in a research environment.
- Experience with causal inference is a requirement.
- Experience with machine learning is a requirement.
- Experience of programming in at least one programming language is a requirement (Julia, Python, C, C++)
- Experience with the analysis of genomics and transcriptomics data is a requirement.
- Experience with the analysis of single cell/spatial transcriptomics data is an advantage.
- Experience with interdisciplinary collaborations between computer scientists and biomedical researchers is an advantage.
- Applicants must be able to work independently and in a structured manner and have the ability to cooperate with others.
- Applicants must have excellent skills in oral and written English.
- Exciting development opportunities as part of your role in a strong professional environment
- Position as researcher (code 1108 in the basic collective agreement) and a gross annual salary of NOK equivalent to pay grade upon appointment. Further increase in salary will depend on seniority. A higher salary may be considered for a particularly well qualified applicant.
- Enrolment in the Norwegian Public Service Pension Fund
- Good welfare benefits
Researcher 1108 in Informatics – Computational Biology - Bergen, Norge - University of Bergen
Beskrivelse
About the project/work tasksThe working environment for this position will be at CBU, in the "Causal inference in computational and systems biology group headed" by Prof. Tom Michoel. The work will contribute to CBU's research themes "Mathematical modelling" and "Precision medicine" and will be carried out in close collaboration with researchers at the Department of Biomedicine and Haukeland University Hospital.
The overall aim of the project is to identify new drug targets/drugs for glioblastoma (GBM), the most malignant and most frequent primary brain tumor, by combining breakthrough technologies from machine learning (ML), bioinformatics, single cell and spatial transcriptomics, organoids, and biotechnology.
The person appointed on this position will use causal inference and ML algorithms to identify causal gene regulatory networks in GBM long-term survivors compared to short-term survivors and link these networks to specific tumor/stromal subpopulations by screening single cell/spatial transcriptomics data.
More information about the research group can be found on its website.
Qualifications and personal qualities
Personal and relational qualities will be emphasized. Research experience, ambitions and potential will also count when evaluating the candidates.
Special requirements for the position:
The University of Bergen is subjected to the regulation for export control system. The regulation will be applied in the processing of the applications.
We can offer
About The University of Bergen
The University of Bergen is a renowned educational and research institution, organised into seven faculties and approximately 54 institutes and academic centres. Campus is located in the centre of Bergen with university areas at Nygårdshøyden, Haukeland, Marineholmen, Møllendalsveien and Årstad.