HARVARD UNIVERSITY

Postdoctoral Fellow in Machine Learning and Design of Biological Systems

Location
Cambridge, Massachusetts (US)
Posted
Monday, 17 August 2020
End of advertisement period
Saturday, 17 October 2020
Contract Type
Fixed Term
Hours
Full Time

Postdoctoral Fellow in Machine Learning and Design of Biological Systems
School    Faculty of Arts and Sciences
Department/Area    Science Division

Position Description    
A postdoctoral position is currently available in the laboratory of Dr. Mor Nitzan at Harvard University’s Faculty of Arts and Sciences to study spatial and temporal aspects of interaction patterns in biological systems. We are looking for exceptional candidates with background in machine learning and/or computational biology. 

Research will focus on both top-down and bottom-up mapping of local interactions between relatively simple dynamic entities and their emergent complex behavior. We study these questions in various theoretical and biological settings, such as cellular interactions in tissues using single cell sequencing data. 

The initial appointment period is funded for one year. 

Basic Qualifications    
Candidates should have a PhD in computer science, physics, bioinformatics or a related field, and an interest in biology.

Additional Qualifications    
Previous research experience related to biology is an advantage but not required.

Special Instructions    
To apply, please send a CV, a statement of research experience and interests (two pages maximum), and the names and contact for three references to mornitzan@fas.harvard.edu

Contact Information    
Dr. Mor Nitzan
Arzy Nitzan Lab
Northwest Building,
52 Oxford St., #365.30 Cambridge,
MA 02138
USA

Contact Email    mornitzan@fas.harvard.edu 

Equal Opportunity Employer    
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.