97 molecular-modeling-or-molecular-dynamic-simulation Fellowship positions at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
to employ innovative bioinformatics approaches to dissect in both human-relevant models of lung cancer as well as unique cohorts of human lung tissues the tumor "ecosystem" and profile in-depth phenotypic and
-
, mechanistic simulations, and predictive AI models. Your work will help unlock new insights into disease mechanisms and inform potential treatments, diagnostics, and drug repurposing opportunities. Your role You
-
of brain tumor research. This position offers the opportunity to lead independent, cutting-edge projects investigating the molecular and cellular mechanisms driving brain tumor biology in both human-based
-
tools for predicting immunologic epitopes complementing virology skills (poxvirus molecular biology) Develop and characterize recombinant vaccine vectors incorporating neoantigens identified by
-
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
-
motivated scientist with: A PhD or MD Knowledge of Biochemistry/Molecular Biology Experience with stem cell models (required) Experience in brain analysis (desirable) About us and what we offer Located within
-
Anderson Cancer Center. Dr. Wang's laboratory conducts cutting-edge research to understand the evolution of cancer transcriptomes through DNA-RNA dynamics, aiming to uncover mechanisms of cancer initiation
-
of medicine through cutting-edge research. Leveraging multiomics, mouse genetics, hiPS cells, and electrophysiology, our lab works on molecular mechanism of cardiometabolic oncology. The postdoctoral fellow
-
interested in the dynamics of beta-cell heterogeneity, islet organization and cell-cell interaction in fetal and neonatal development. The Dhawan lab utilizes genetic mouse models, molecular biology, imaging
-
development and regeneration. Our research combines in vivo genetic models, in vitro organoid systems, advanced imaging, and high-dimensional sequencing approaches to uncover fundamental principles by which