105 modelling-and-simulation-postdoc Postdoctoral research jobs at University of Oxford
Sort by
Refine Your Search
-
lowland river chemistry. Ultimately, these experiments will be used to parameterise calcite precipitation rate equations and empirical rate constants to inform catchment-scale modelling of ERW practices and
-
original research on the grid integration of second life battery storage systems. The research will bring together second-life battery modelling, power system optimisation and technoeconomic evaluation
-
, biochemistry, cell-based and model organism. You will be expected to manage your own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects
-
approaches including targeted genetic murine models, primary cell culture and analysis, multi-omics and bioinformatics. The biological focus will be on vascular biology, immune cell function and metabolism
-
microscopy, as well as in developing approaches to track cell migration in the spleen in real time. Extensive experience with immunization and infection models is also essential. Experience in independently
-
learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
-
Leedham (colorectal cancer biology), Dan Woodcock (cancer genomics), Helen Byrne (mathematical modelling), and Jens Rittscher (computational pathology and imaging AI), offering a unique opportunity to work
-
developing characterisations of network models and interactions with methods in statistical machine learning. The post holder provides guidance to junior members of the research group including project
-
data to build hypothesis and test them in laboratory models. You will contribute ideas for new research projects, collaborate in the preparation of scientific reports and journal articles and act as a
-
Prof. Luigi Rizzi (Collège de France), seeks to investigate the acquisition of French from a cartographic perspective, employing the Growing Trees model developed by Friedmann, Belletti, and Rizzi, and