Dr. Uri Keich

Associate Professor

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Biography

Uri Keich is an Associate Professor at the University of Sydney specializing in bioinformatics and computational statistics. His research focuses primarily on biological sequence analysis, addressing collaborative research on actual biological problems and the mapping of sequence motifs involved in crucial processes such as DNA replication. He has a keen interest in the development of tools and techniques for the discovery and analysis of sequence motifs, along with designing novel computational approaches that can be applied to classical statistical tests. For example, his work includes motif finding, which involves identifying transcription factor binding sites integral to understanding gene expression regulation. He also explores significant challenges in the efficiency and reliability of significance analyses in motif finding. Additionally, he is involved in studying the fundamental process of DNA replication and has collaborated with molecular biologists to map replication origins in yeast species. Through his research, he aims to contribute to the understanding of the evolution of DNA replication origins and improve computational methods for statistical analysis.

Research Interests

Experience

Associate Professor

2014-01-01 — Present

University of Sydney • Sydney, Australia

Teaching and conducting research in bioinformatics and computational statistics.

Requirements for University of Sydney

Doctorate Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:17
Reading
Required:17
Writing
Required:19
Speaking
Required:17
Total
Required:85
PTE
Listening
Required:54
Reading
Required:54
Writing
Required:54
Speaking
Required:54
Overall
Required:61
Prerequisites
A master's degree with a research component or a bachelor's degree with first or second-class honours. Demonstrated research experience and capability.
Application Checklist
  • Academic transcripts
  • Curriculum Vitae (CV)
  • Research proposal (1000+ words)
  • Two academic referee reports
  • Evidence of residency status
  • Written statement of support from potential supervisor
Specialization Notes

This entry applies to Faculty of Science PhD programs including Departments such as Life and Environmental Sciences, Physics, Chemistry, and Mathematics and Statistics.