Due to high demand for this course, we operate a staged admissions process with multiple selection deadlines throughout the year, to maintain a fair and transparent approach. Explore our campus, meet ...

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

Computational modelling, machine learning, and broader artificial (AI) intelligence approaches are now key approaches used to understanding and predicting ...

Researchers developed a new computational method to analyze complex tissue data that could transform our current understanding of diseases and how we treat them. Researchers at the University of ...

Researchers at the University of Oregon have developed an artificial intelligence tool that can read genetic code the way ...

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 ...

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 ...

Applied Statistics is the implementation of statistical methods, techniques, and theories to real-world problems and situations in several fields, such as science, engineering, business, medicine, ...

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 ...

This course is compulsory on the MSc in Financial Mathematics. This course is available on the MSc in Quantitative Methods for Risk Management, MSc in Statistics (Financial Statistics) and MSc in ...