235 engineering-"https:" "https:" "https:" "https:" "Data driven Materials Modeling" research jobs at Harvard University
Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
opportunity to shape the future of medicine. About the Department of Genetics: The McCarroll Lab (http://mccarrolllab.org ) analyzes the human brain at molecular and cellular levels, using a variety of
-
such datasets. In addition, this position involves working with DRSC/TRiP functional genomics core, a multi-disciplinary team of biologists, software engineers and bioinformaticians as we develop and leverage
-
experience in drug discovery using patch clamp electrophysiology or who can bring a new technology or perspective to bear on the work in the lab. The work is based on electrophysiological recordings using
-
, software engineers and bioinformaticians as we develop and leverage technological breakthroughs to explore the biology of complex systems. Principal Responsibilities include 1.) Design and implement reusable
-
findings in internal meetings and scientific publications Basic Qualifications PhD degree in neurobiology or a related field Prior experience with bioinformatic analyses, viral engineering, neuroanatomy
-
comparative effectiveness of treatment strategies in first episode psychosis and bipolar disorder. For more information on the research portfolio at CAUSALab, visit https://causalab.sph.harvard.edu/ Basic
-
by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW
-
at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW for purposes of collective bargaining and matters affecting your
-
Details Title Postdoctoral Fellow - Computational Immunology & Translational Oncology School Wyss Institute for Biologically Inspired Engineering Department/Area Position Description About the Wyss
-
Models Basic Qualifications: A Ph.D. or equivalent degree in Machine Learning, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong