40 molecular-modeling-or-molecular-dynamic-simulation PhD positions at Utrecht University
Sort by
Refine Your Search
-
Application deadline: 5 January 2026 Apply now Do you want to develop predictive models that integrate omics and environmental data, advancing the field of precision prevention? Join the Institute for Risk
-
is the covalent attachment of lipids to proteins, regulating their trafficking, protein–protein interactions, and stability. This post-translational modification is dynamically controlled by families
-
stimuli —enable whole-brain imaging of neuronal activity. This makes them an ideal model to study the neurons involved in these innate, evolutionarily conserved defensive behaviors. Your job As a PhD
-
zebrafish—being small, transparent and responsive to threatening stimuli —enable whole-brain imaging of neuronal activity. This makes them an ideal model to study the neurons involved in these innate
-
from open water and polynyas drive snowfall and melt events; and running regional climate model simulations to project future Greenland surface mass balance under different sea ice scenarios. You will
-
delivery platforms for functional cargo delivery of model- and pharmaceutically relevant cargo in vitro. Additionally, you will explore further functionalization of the hybrid EVs with nanobodies to improve
-
systematic investigation across diverse rock types and integration with predictive models remains lacking. In this PhD study, you will be performing experiments and numerical simulations to understand and
-
experimental structures are not sufficient to fully understand the dynamics of turbidity current processes in natural environments. The TurbiFlume set-up in the Earth Simulation Laboratory of Utrecht University
-
experiments and numerical simulations to understand and predict the clogging evolution in a range of geological media by: Quantifying physical and chemical clogging dynamics across a spectrum of rock types
-
. A strong background in at least one but preferentially two of the following areas: Developmental Biology, Cell Biology, or Molecular Biology. A strong interest in (or experience with) single-cell RNA