Sort by
Refine Your Search
-
Flatiron Research Fellow, Biophysical Modeling, Center for Computational Biology Flatiron Institute - Simons Foundation Location 162 5th Avenue, NY, NY 10010 Open Date Sep 16, 2025 The Center
-
biological processes by developing theory, innovative modeling tools for large-scale biophysical simulations, and computational frameworks for analyzing increasingly large and complex experimental datasets
-
historically challenging biological processes by developing theory, innovative modeling tools for large-scale biophysical simulations, and computational frameworks for analyzing increasingly large and complex
-
The D’Amato Lab of the Vascular Biology Program at Boston Children’s Hospital and Harvard Medical School is seeking a highly motivated post-doctoral researcher to join a team which is actively
-
theory, innovative modeling tools for large-scale biophysical simulations, and computational frameworks for analyzing increasingly large and complex experimental datasets. Living systems are built
-
iPSC modelling Objective: Investigate molecular mechanisms underlying microglial vulnerability to cellular senescence in Multiple Sclerosis (MS), using human iPSC-derived models and advanced gene editing
-
Role: The laboratory consists of experimental biologists and computer scientists who focus on the study of transcriptional control of cell growth, using functional genomics, systems biology, and mouse
-
as well as animal models (GEMs and PDX) to understand the mechanisms of drug resistance and to help early preclinical therapeutic development in many translational studies with a focus on breast and
-
. The postdoctoral fellowship training program is designed to enhance skills of psychology trainees preparing for a career in a pediatric academic medical setting. As a fellow, you will benefit from an individualized
-
of manufacturing. We have identified an opportunity to combine continuous microfluidic (µF) process models, process analytical technology (PAT) and machine learning (ML) to achieve a paradigm shift in bioprocess