A main bottleneck in proteomics is the downstream biological analysis of highly multivariate quantitative protein abundance data generated using mass-spectrometry ...

This course is designed for engineering graduate students who are interested in furthering their knowledge in advanced and emerging methods of engineering design, with the focus on computational ...

Data science is a broad, rapidly developing field that combines statistics and mathematics, artificial intelligence, machine learning and programming, for the extraction and structuring of knowledge ...

Simone Rubinacci is a Group Leader at FIMM and a Research Fellow at Brigham and Women's Hospital and Harvard Medical School. He earned his DPhil from the Department of Statistics at the University of ...

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

Under a recently completed IAEA project, experts have developed a benchmark database for computational methods and tools used for the utilization, operation and safety analysis of research reactors. A ...

This course is designed for engineering graduate students who are interested in furthering their knowledge in advanced and emerging methods of engineering design, with the focus on computational ...

This course is available on the MSc in Data Science, MSc in Econometrics and Mathematical Economics, MSc in Economics and Management, MSc in Statistics, MSc in Statistics (Financial Statistics), MSc ...