117 advance-soil-structure-modeling Postdoctoral research jobs at University of Oxford
Sort by
Refine Your Search
-
of research projects on human immunity against bacterial and viral infections using human challenge models. You will support the research of Post-Doctoral Scientists, whilst obtaining training in working
-
, defensive mechanisms and related topics to the safe deployment of systems contain multiple LLM and VLM powered models. You will be responsible for Developing and implementing; capability evaluations, attacks
-
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
-
holder will use existing thermal remote sensing data, along with newly developed thermal models, to constrain the variability of Europa’s surface temperatures, properties and activity properties ahead
-
that control the response to low oxygen conditions in Marchantia polymorpha. They will contribute both to the practical work with plants but also some bioinformatics work on protein structure and function
-
replication. This post is fixed term for 3 years. What are you going to do? In this fully-funded project, you will: • develop and employ novel advanced biophysical instrumentation based on optical
-
to the 4th February 2026. You will be investigating the safety and security implications of large language model (LLM) agents, particularly those capable of interacting with operating systems and external APIs
-
systems modelling including technical knowledge (e.g., in data science, input-output modelling, applied economic modelling, environmental and ecological assessments, GIS, comparative risk assessments), as
-
on evaluating the abilities of large language models (LLMs) of replicating results from the arXiv.org repository across computational sciences and engineering. You should have a PhD/DPhil (or be near completion
-
The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity