Dr. Michael Biehl

Professor

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Biography

Michael Biehl is a Full Professor at the University of Groningen, specializing in machine learning and its theoretical applications. His research covers various aspects of computing science including machine learning, artificial intelligence, scientific computing, and computational science. Biehl is known for his work on neural networks and prototype-based systems, focusing on adaptive distance measures. Additionally, he holds an honorary professorship in Machine Learning at the University of Birmingham, which reflects his extensive engagement with the international academic community. He is actively involved in numerous projects and initiatives aimed at advancing the field of intelligent systems, contributing significantly to the literature and education in these areas. His expertise positions him as a key figure in the development of new methodologies and applications in machine learning. Through collaborations and research initiatives, Biehl continues to influence the landscape of computational science, actively mentoring students and researchers in his domains of expertise.

Research Interests

Requirements for University of Groningen

Master Program
Requirements
GPA Requirement
Required:2.8
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6.5
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:21
Writing
Required:24
Speaking
Required:20
Total
Required:90
GMAT
Total Score
Required:500
Overall
Required:500
GRE General
Verbal
Required:145
Verbal Percentile
Required:25
Quantitative
Required:145
Quantitative Percentile
Required:25
Overall
Required:145
Prerequisites
Bachelor's degree in a relevant field (Economics, Business, Management) Strong background in mathematics and statistics Research orientation in previous studies
Application Checklist
  • Bachelor's degree certificate/diploma
  • Academic transcripts
  • Curriculum Vitae (CV)
  • Letter of Motivation
  • Proof of English proficiency
  • GMAT/GRE score report (for non-EU/EEA)
  • Course descriptions of mathematics and statistics courses
Specialization Notes

Standard Master's entry requirements for Economics, Business, Finance, Accounting, and Management departments within the Faculty of Economics and Business.