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The successful candidate will work closely with bioinformaticians and immunologists in the group. The project will use AI models to integrate state-of-the-art imaging techniques including high multiplex tissue imaging and deep learning of H&E sections. The imaging results will be combined with analysis of high density spatial transcriptomics (Visium HD) and other advanced single cell technologies.
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).

The project will be supervised by Prof. Jahnsen, Prof. Bækkevold and Dr. Domanska (bioinformatics) – all working in the Jahnsen group. The lab consists of 15 researchers and laboratory scientists all working on projects related to diseased in the gastrointestinal tract. The lab has extensive collaborations with international groups in bioinformatics, immunology and cancer biology.

The ideal candidate should meet the following criteria:

• 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 candidate will work in a very ambitious interdisciplinary setting, which will require high flexibility.


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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