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The University of Edinburgh: Informatics: ANC: Machine Learning, Computational Neuroscience, Computational Biology

Institution The University of Edinburgh View institution profile
Department School of Informatics
Web https://www.ed.ac.uk/studying
Study type Research

Summary

The Institute for Adaptive and Neural Computation (ANC) is a world-leading institute dedicated to the theoretical and empirical study of adaptive processes in both artificial and biological systems. We are one of the UK’s largest and most prestigious academic teams in these fields.

We foster world-class interdisciplinary and collaborative research bringing together a range of disciplines.

Our research falls into three areas:

  • machine learning

  • computational neuroscience

  • computational biology

In machine learning, we develop probabilistic methods that find patterns and structure in data, and apply them to scientific and technological problems. Applications include areas as diverse as astronomy, health sciences and computing.

In computational neuroscience and neuroinformatics, we study how the brain processes information, and analyse and interpret data from neuroscientific experiments.

The focus in the computational biology area is to develop computational strategies to store, analyse and model a variety of biological data (from protein measurements to insect behavioural data).

Doctor of Philosophy - PhD

MSc (Res)

Master of Philosophy - MPhil

Edinburgh. Extraordinary futures await.

The University of Edinburgh is one of the world's top universities, consistently ranked in the world top 50, and placed 22nd in the 2024 QS World University Rankings.

Our position as one of Britain’s leading research universities was reaffirmed by the results of the 2021 Research Excellence Framework (REF). The University of Edinburgh is one of the world’s top research-intensive universities, ranked 4th in the UK for research power (Times Higher Education, Overall Ranking of Institutions), with 90% of our research activity classified as world leading or internationally excellent in the 2021 Research Excellence Framework.

Our …

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