Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
(two postdoctoral researchers and two research technicians) evaluating in vitro and in vivo disease models. This post is focussed on in vitro models and delivering high quality data in assays
-
models? How can machine learning and computer vision models be adapted to accurately classify the different tool wear mechanisms (like abrasion, adhesion, diffusion, and fracture) from high-resolution
-
Neuro-Symbolic Methods for Explanation-Based Reasoning with Large Language Models
-
computational modelling to explore structure/activity relationships. The project offers a unique combination of experimental and theoretical catalysis, providing a strong foundation for careers in both academia
-
develop statistical and machine learning models to identify and validate predictive biomarkers of resistance evolution in Pseudomonas aeruginosa lung infection. As part of this work, the postholder will
-
of Sheffield and Nottingham, and the Alan Turing Institute. The wider focus of this research programme is to develop both physics-based and data-driven models of heart function and blood flow through
-
Overview Applications are invited for a postdoctoral research associate (PDRA) to join a collaborative research programme investigating the role of synaptic dysfunction and impaired
-
physics phenomena. The PhD candidate will take advantage of the new ATLAS data to undertake novel measurements of the fundamental interactions and parameters of the Standard Model (SM) that underpin our
-
grade. Generate data through comprehensive laboratory grinding tests on various rail grades to train and validate the ML model. Utilise numerical modelling to establish acceptable thresholds for surface
-
, as part of the collaborative UK Japan civil nuclear research programme . The ideal candidate will have a strong background in cement chemistry and engineering, or a relevant discipline. They will also