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Any vacancies or available internships will be announced properly through the usual channels and on this website.
Note that I will not reply to unspecific requests or unsolicited applications for internships, PhD positions etc.

  Michael Biehl,   University of Groningen

Michael Biehl, book cover, The Shallow and the Deep
  University of Groningen, Bernoulli Institute for Mathematics,
  Computer Science and Artificial Intelligence,
  Computer Science Department, Intelligent Systems Group

  Nijenborgh 9, 9747 AG Groningen, NL      m dot biehl at rug dot nl
  Room 5161.0584   Tel +31 50 363 3997    meikelbiehl at gmail dot com

  Honorary Professor of Machine Learning, University of Birmingham
  Center for Systems Modelling and Quantitative Biomedicine

 
  Research:
   Machine Learning and Computational Intelligence
           Deep theory and algorithm development for neural networks
           Learning Vector Quantization and Relevance Learning
           Applications in life sciences, biomedical data, astroinformatics

   Statistical Physics and Scientific Computing
           Theory of neural networks, dynamics of machine learning processes
           Monte Carlo simulations of complex systems
           Disordered systems, non-equilibrium growth processes

   Teaching:
   Neural Networks and Computational Intelligence
   Modelling and Simulation
   Introduction to Machine Learning
   Student Colloquium



+++ +++ breaking news +++ +++

January 30, 2024:
Our publication in AIM is online (open access):
Subspace corrected relevance learning with application in neuroimaging
Artificial Intelligence in Medicine 149: Art. No. 102786 (2024)

February 7, 2024:
Our publication in Neurocomputing is online (open access):
Iterated Relevance Matrix (IRMA) for the identification of class-discriminative subspaces
Neurocomputing 577: Art. No. 127367 (2024)

March 27, 2024:
More than 3000 downloads of "The Shallow and the Deep" since its publication end of September 2023.

March 2024:
Our contribution to the WSOM+ 2024
Interpretable Machine Learning in Endocrinology: a Diagnostic Tool in Primary Aldosteronism
has been accepted.


Any vacancies or available internships will be announced properly through the usual channels and on this website.
Note that I will not reply to unspecific requests or unsolicited applications for internships, PhD positions etc.