42 image-processing positions at University of Sheffield

Untangling how Shelterin safeguards telomere structure and stability - one molecule at a time

activities, giving unprecedented insight into how Shelterin modulates these processes. Experimental Approach: This project combines multiple cutting-edge single-molecule techniques, and the expertise

Knowledge-guided and Lifelong AI for Data Learning and Decision-making in Agroecosystem

learning will be explored to support intelligent decision-making, to foster sustainability. The success of machine learning (ML) in computer vision and language translation where large-scale data is

A Novel Gas/Liquid contactor for Direct Air Capture and industrial CO2 capture technologies

contacting either ambient air or the combustion gases of gas turbines with solvents used for CO2 capture. It uses a first of a kind prototype system to obtain experimental data, combine the data with process

Interaction between medical materials and skin

patients and those with co-morbidity. Sensation through medical materials is critical to detecting pain, abnormalities and precision during surgery. A further motivation is the need to characterise new and

Can biophotonics help prevent spontaneous pre-term birth?

camera that can measure the collagen content of the cervix, via a small imaging probe (similar to those used in keyhole surgery) that is inserted into the vagina and placed a few millimeters from the

New concepts and advanced materials for quantum nanophotonics

leading computer simulation package Lumerical to advanced optical microscopy imaging and optical micro-spectroscopy; from sample nano-fabrication using electron- beam lithography to characterisation methods

Generative AI and flexible cognitive robots for discrete manufacturing

. Furthermore, one of the paradigms that have been created by the machine learning community is the Reinforcement Learning paradigm. Though state of the art reinforcement learning algorithms have given impressive

Developing Foundation Models for Multimodal Neuroimaging Data

of neurological conditions like Alzheimer's or Parkinson's disease. In brain-state decoding, machine learning helps interpret complex patterns of brain activity, enhancing our understanding of cognitive processes

Investigating cognitive engagement and motivation as determinants of attention capture by distractors

Application Deadline: 29 February 2024 Details We are only able to process a limited amount of the sensory information available in our environment at a given time. Existing research has investigated

Function Brain imaging in disease: what are the activation maps really telling us?

all year round Details Functional brain imaging methods such as functional magnetic resonance imaging (fMRI) have already revolutionized how we can study the processes and functioning of the healthy