Sort by
Refine Your Search
-
experiments, large-scale data analysis, and computational methods to advance our understanding of innovation and digital transformation. Candidate Profiles: We seek candidates with strong quantitative and
-
position. We are most interested in applicants who have experience in computational methods development, in human genetics or a different field. Possible areas of research include: 1. Developing methods
-
organized faculty mentorship component. Residency at the Warren Center for the term of the appointment is therefore required. Notes regarding application materials. The required statement of research should
-
, using an array of methods including natural language processing and experiments. This is a two-year position (one-year contract renewable based on performance). The primary criterion for acceptance is
-
on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with the possibility of extension. For more details on our research and recent publications
-
DNA elements and transcriptional and chromatin remodeling machinery in gene regulation. More information about the lab and specific research areas can be found at https://adelman.hms.harvard.edu
-
, machine learning, or a closely related field Demonstrated expertise in visualization methods and technologies as applied to complex biomedical images Strong publication record and evidence of research
-
computational (bioinformatics) tools on human and mouse tissues and using in vitro methods on human cells, to explore the consequences of genetics variants on human biology. This is a multi-year position
-
environmental and agricultural economics topics and methods. Faculty mentors for this program will include Ishan Nath , Anna Russo , Wolfram Schlenker , and Charles Taylor . An important goal of the fellowship is
-
research tasks and projects, making use of selected methodologies (longitudinal designs, moderation and mediation, causal inference), library research (Pubmed searches, systemic review methods), and