Norway Job Openings
Oslo universitetssykehus
Postdoc research fellowship in cancer research
Oslo
FULL TIME
August 23, 2024
The position is available from August 2024. Starting date is flexible. The position will be located in the laboratory of Professor Jahnsen at Oslo University Hospital – Rikshospitalet (website:j ahnsenlab.org). The aim of the project is to understand the role of the tumor environment in colorectal cancer and liver metastasis, identify novel biomarkers and targets for therapy.
The Jahnsen team has a very strong record in research of the human gut and has over the last few years built very strong competence in bioinformatics for single cell multiomics analysis. In this project we will collaborate with internationally and nationally leading research groups within cancer biology and cancer genetics, bioinformatics and imaging, oncology, and gastrointestinal surgery. We will apply an integrated approach combining advanced imaging techniques and high throughput single-cell technologies including high density spatial transcriptomics. We have access to a unique well characterized clinical biopsy material from several thousand colorectal patients and in ongoing collaborate projects with surgeons at our hospital we receive surgical material (tumor and normal tissue) from a high number of colorectal cancer patients every year. We also perform functional in vitro studies and culture complex organoids to study tumor-immune cell interactions in a near in vivo situation.
Oslo University Hospital is a workplace with great diversity. We believe this is essential to perform the tasks required of us. Therefore, we pursue diversity among our job applicants and encourage everyone to apply regardless of who you are and what background you have.
The candidate will:
-
Prepare high multiplex immunofluorescence imaging of tumor tissue.
-
Integrate high multiplex tissue imaging with traditional image processing of colorectal cancer using AI models.
- Establish and develop new pipelines to analyze high density spatial transcriptomics (Visium HD from 10X) combined with single cell technologies (e.g. sc RNA-seq/TCR-seq/BCR-seq/sc ATAC-seq).
- Applicants must hold a Ph D degree in informatics, mathematics, bioinformatics, computational biology, biology, immunology, or a related field.
- Strong experience in tissue image processing methods and pipelines including multiplex immunohistochemistry.
- Strong experience in machine learning/deep learning techniques.
- Experience in cancer biology.
- Knowledge in programming languages such as Python.
- Fluent oral and written communication skills in English.
The application must include:
- Application letter describing the applicant’s qualifications and motivation for the position.
- CV (summarizing education, positions, and academic work - scientific publications).
- A complete list of publications.
- Ph D thesis.
- Copies of educational certificates and transcript of records.
- List of publications and academic work that the applicant wishes to be considered by the evaluation committee.
- Letters of recommendation or names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number).
The application with attachments must be delivered in our electronic recruiting system, please follow the links “apply for this job”.
Foreign applicants are advised to attach an explanation of their University's grading system. Please note that all documents should be in English (or a Scandinavian language). Applicants, who are invited for an interview, are asked to provide educational certificates, diploma or transcript of records.
- An exciting research environment with opportunities for academic development.
- Salary depending on qualifications.
- A stimulating (international, multidisciplinary) research environment where quality, professionalism and team spirit are encouraged.
- The opportunity to be part of a young and dynamic team and to provide a meaningful contribution to cancer research.
- Rigorous research training and supervision. Possibility of extension.
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