20 molecular-modeling-or-molecular-dynamic-simulation positions at University of Reading
Sort by
Refine Your Search
-
JOB SUMMARY The John and Karen Arnold Simulation Lab Educator will work collaboratively with department leadership, faculty, and staff to ensure evidence-based clinical standards and simulation best
-
of Reading is seeking a dynamic and inclusive Director of Digital Governance, Risk and Assurance (GRA) to lead our efforts in safeguarding digital operations and ensuring resilience across our institution
-
the transition to a product-centric operating model, ensuring our digital services evolve to meet the changing needs of students, staff, and the wider academic community. This is an exciting opportunity
-
tradition. The Occupational Therapy Department offers a dynamic and supportive environment for both students and faculty, emphasizing evidence-based practice and community engagement. Position Overview
-
dynamic academic setting. Instructional Interns will receive orientation and training in TExpL® methodologies and are expected to actively participate in daily operations, student supervision, and camp
-
to Intelligent Transportation Systems (ITS) that can manage the diverse and dynamic environments of mixed urban-road users. Enhance the security of Federated Learning models to protect the federated learning
-
to enable you to develop a research career in this exciting field. PhD Topic Security and Privacy for Trustworthy Large Language Models The rise of Large Language Models (LLMs), such as ChatGPT, marks
-
data. A combination of Computational Fluid Dynamics models with machine learning (e.g. classification) and statistical techniques will be applied to characterise turbulence patterns experienced in wind
-
to: Use gut models to explore new microbial approaches associated with cognitive function and gut health in military personnel Develop new probiotic microorganisms and synbiotic variants, and Evaluate (in
-
local case studies Good programming skills, specifically R and Python Familiarity with statistical approaches used for model evaluation, including geostatistics and timeseries analyses Previous research