BACKGROUND

Large-scale technologies, such as microarray, mass spectrometry, and cellular images, are being used for genomic and proteomic studies in model animals. These studies generate enormous amounts of data and the analysis of data on this scale is a major current challenge. There is an urgent need to develop mathematical modeling tools that perform integrated analyses of these large-scale data with other types of data, for example, DNA sequences, protein-protein interaction, chromosomal localization, literature, and so on.

RESPONSIBILITIES

The major aim of this Ph.D. program is to develop novel mathematical modeling tools for inferring large-scale causal relationships among genes/proteins from heterogeneous biological data. The students will be trained in an interdisciplinary academic environment including expertise in molecular biology, large-scale technologies and computational biology.

REQUIREMENTS

Applicants should have a strong interest in computational biology. Applications are welcome from students in bioinformatics and related areas, including computer science, statistics, molecular cellular biology, or quantitative genetics.

PREFERENCES

Programming skills is desired.

LOCALE

Brandeis University, USA

HOW TO APPLY

Written application marked "Ph.D. - Computational Systems Biology" including CV, diploma, copy of most relevant papers, and other material the applicant wish to include should be sent to:

Dr. Pengyu Hong
Computer Science
MS 018, Brandeis University
Waltham, MA 02454, USA

DEADLINE

Spring 2006 enrollment: Closing date for applications is November 1st, 2005.