A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

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 ...

Computational statistics harnesses the power of sophisticated numerical algorithms and high‐performance computing to solve complex inferential problems that are intractable by traditional analytical ...

Modern high-throughput proteomics experiments produce huge amounts of data which, in raw form, provide little usable information about biological processes. With such large quantities of data, manual ...

The study track Bioinformatics and Systems Medicine in the Master’s programme in Life Science Informatics addresses challenges of big data and the great opportunities it creates for biology. Who is ...

Data really powers everything that we do. Research activities in the data science area are concerned with the development of machine learning and computational statistical methods, their theoretical ...

You'll learn to rigorously and creatively apply computational methods to social science research problems. You'll develop advanced skills in computational methods, research design, social scientific ...