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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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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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profile We are looking for someone with a medical degree and specialized training in health informatics. You have good proficiency in both English and Swedish, programming skills in Python, and substantial
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mechanisms in the mouse brain by developing new technologies. The group is building a new interdisciplinary research program as there is an immense potential for new fundamental insights to be discovered
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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
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Professor Cristiana Cruceanu and the Women’s Mental Health Group at IMM led by Associate Professor Donghao Lu. Dr. Cruceanu leads a research program that studies molecular mechanisms of how stress exposures
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interdisciplinary environment , integrating computational biology with cancer and developmental biology. We develop new analytic and experimental approaches based on single nuclei transcriptomics and spatial
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basic scientific approaches to understand the regulation of mitochondrial metabolism. We offer an outstanding research environment and a close interaction between basic science and clinical science and
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the synthesis of functional nanoscale materials and devices for biomedicine using flame aerosol technology. The focus of the research program lies on studying the physicochemical properties of materials made by