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both is considered a merit. Specialist area 1: Computational Biology Specialist area 2: Cell biology General to both specialties is possessing excellent verbal and written communication skills in English
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sought. Competency in both is considered a merit. Specialist area 1: Computational Biology Specialist area 2: Cell biology General to both specialties is possessing excellent verbal and written
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a solid background in bioinformatics, statistics and computational biology, good expertise in statistical and bioinformatics software, and an ability to work in a multidisciplinary research
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biology, cancer, and infection biology. Description of the subject area We are seeking dedicated and highly qualified person to support our informatics research and teaching, focusing on the relationship
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the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS). Data driven life science Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study
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the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS). Data driven life science Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study
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integrate different experimental and computational approaches for the completion of the project, including genomics, yeast genetics, high-throughput biology approaches and bioinformatics. The candidate will
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international collaboration in the field of computational biology and next-generation sequencing is also considered as a merit. It is meritorious that the applicant has Experience from organization committees
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at the Science for Life Laboratory (SciLifeLab) and the position is funded by its Data Driven Life Science program (DDLS). Your mission You will develop a deep learning model of the tumor microenvironment (TME) in
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cancer-stroma interactions in pancreatic cancer. The long-term goal of our lab is to enable computer-aided design of precision cancer medicine. The lab is situated at the Science for Life Laboratory