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time and space and create AI-based models to predict human cells. As the Scientific Program Manager, you will make a key contribution to this exciting new direction at SciLifeLab through setting up
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. It is coordinated through SciLifeLab and led by Scientific Directors Professor Jan Ellenberg and Professor Mathias Uhlén. We are now seeking a dedicated and service-minded Program Coordinator to help
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information about us, please visit: the Department of Biochemistry and Biophysics . About the DDLS PhD student program Data-driven life science (DDLS) uses data, computational methods and artificial
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National Program for Data-Driven Life Science (DDLS) is a 12-year initiative that focuses on data-driven research, to train and recruit the next generation of life scientists and create strong and globally
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processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists
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) environments. Strong programming skills (e.g. TensorFlow, PyTorch, scikit-learn). AI/ML applications in life science. Large-scale data management (databases, data curation, metadata management, FAIR, etc
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year project, funded by the DDLS program, we aim to develop AI-based tools in design of affinity ligands, such as the prediction of binding interactions between proteins. Data-driven life science (DDLS
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with our colleagues at the Department of Chemistry – Ångström, we are responsible for the Bachelor and Master programs in Chemistry, and the Master of Science in Chemical Engineering, together
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project in collaboration with AstraZeneca Chalmers University of Technology, funded through the Wallenberg National Program for Data-Driven Life Science (DDLS). Chalmers University of Technology conducts
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Skłodowska-Curie Actions (MSCA) Cofund postdoctoral program, that will train 48 future leaders in life sciences. It runs 2025-2030 with a budget of 6,88MEUR. About SciLifeLab SciLifeLab (Science for Life