Student background: Theoretical Physics, Mathematics, Computer Science, Engineering (background in biology not necessary).
The student will develop mathematical and computational approaches to analyze the behavior of complex biological systems, focusing on analyzing physiological dynamics. A major goal is to develop approaches that will help us understand the relationship between biological circuits in cells and higher-level emergent functional properties, including properties of cells, tissues, and organisms.
For example, consider a physiological variable like the level of glucose in a person's blood. It is tightly controlled by the collective behavior of many cells; each cell interprets incoming signals and produces signals that affect other cells. Some signals affect whether cells will grow or die, or whether they will differentiate into other types of cells. Mathematical approaches can help us understand the (often unintuitive) behavior of these interaction networks, and how they dysfunction in disease.
The approach we will take will focus on identifying and analyzing design principles – recurring patterns of biological regulation that have outstanding importance to the proper function of the system. There are plenty of unexplored territories and the possibility of developing new theoretical approaches to address important biological questions. As a PhD student in my group, you will work with me to develop research questions that suit your interests.
The project may also include developing innovative computational approaches and the analysis of large biological datasets. While no biological background is required, you should have a strong interest in engaging with biological topics.
Candidates from underrepresented groups are very much encouraged to apply.
Further inquiries - contact with a CV detailing academic performance (including as detailed as possible information about grades/marks or equivalent, technical experience including non-academic experience).
For more information see also:
https://webhome.weizmann.ac.il/home/omerka/
Continue with Facebook
