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Awarded Projects

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Collaborative Research Programme
Research Infrastructure Programme
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Emerging Investigator
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2022
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2018
2019
2020
2021
2022
2023
2022
Pioneer Centre for AI
Serge Belongie, University of Copenhagen
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ALFADIAB – Algorithmic Fairness in Diabetes Prediction
Tibor V. Varga, University of Copenhagen
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Integration of longitudinal multimodal data in clinical risk prediction using deep learning
Adam Hulman, Steno Diabetes Center Aarhus
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Optimizing medical decision making: advancing and refining estimation and evaluation of personalized treatment rules
Erin Gabriel, University of Copenhagen
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Bayesian neural networks for molecular discovery
Mikkel Schmidt, Technical University of Denmark
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A simulation and inference toolbox for spatio-temporal genome evolution
Fernando Racimo, University of Copenhagen
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GolgiNet: Data science to take glycomics in silico and beyond
Hiren Joshi, University of Copenhagen
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DEVELOP: Using data science to estimate overdiagnosis and mortality reduction in cancer screening programs
Sisse Njor, Randers Regional Hospital
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Cognitive spaces – Next generation explainability
Lars Kai Hansen, Technical University of Denmark
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AgroEco-HPM: A high-performance data-driven agroecosystem modelling platform for developing agricultural systems with minimum environmental impact
Sune Darkner – Associate Professor, Department of Computer Science, Københavns Universitet
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Biomedical Data Infrastructure (BDI) for health research: National Neurophysiologic Database (NND)
Poul Jørgen Jennum – Professor, Department of Clinical Neurophysiology, Rigshospitalet
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A high-performance computing infrastructure for data-driven research on sustainable energy materials
Kristian Sommer Thygesen – Professor, Department of Physics, Danmarks Tekniske Universitet
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Data Science Research Infrastructure In Radiotherapy
Cai Grau – Professor, Department of Clinical Medicine, Aarhus Universitet
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MOPITAS – Multi-omics profiling in time and space
Richard Röttger – Associate Professor, Department of Mathematics and Computer Science, Syddansk Universitet
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Reading the Reader
Per Bækgaard – Associate Professor, Department of Applied Mathematics and Computer Science (DTU-Compute), DTU
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CAZAI: CAZyme Specificity Prediction Using AI
Bernard Henrissat – Professor, Department of Biotechnology and Biomedicine, DTU
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