146 Master positions at University of Sheffield

Role of primary cilia in skeletal muscle stem cells and muscle regeneration

Role of primary cilia in skeletal muscle stem cells and muscle regeneration School of Biosciences PhD Research Project Self Funded Dr A G Borycki Application Deadline: Applications accepted all year

How does glycolysis influence the oral environment during caries and periodontitis?

. How to apply: Please complete a University Postgraduate Research Application form available here: www.shef.ac.uk/postgraduate/research/apply Please clearly state the prospective main supervisor in

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

level 3. Probe how differences in Shelterin activity affect T-loop stability and end-protection in vivo Novelty: Ageing is a primary driver of some of the most prevalent chronic diseases including

Advancing battery intelligence using digital parameterisation of battery electrode microstructures

candidates are encouraged to contact the primary supervisor, Dr Jennifer Hack ([email protected]) to discuss the project. Applications can be made using the information on this page: https

Biomechanics of internal fixation methods for ankle fusion

look to be creative in your work. In addition, you should: - Hold (or will receive this year) a master's degree (or equivalent, e.g. MEng) at merit/distinction level, or a first class/ upper second (2:1

Targeting dormant cancer cells in myeloma

to apply: Please complete a University Postgraduate Research Application form available here: www.shef.ac.uk/postgraduate/research/apply Please clearly state the prospective main supervisor (Dr Green) in

Gypsies and Travellers and the harms of planning: counter-mapping, oral histories and housing justice

, applicants with a social science masters degree and with 60 or more credits of M-level social science research training are suited to this route +3.75 programme: funding for an integrated PGCert/PhD. Typically

SELF-FUNDED 3.5-YEAR PHD – Automatic segmentation of femur using deep learning combined with phantomless calibration for rapid personalised fracture risk predictions in clinical applications

using scans performed with adaptive current. These lead to two main objectives of this project: 1.    To train deep learning algorithms to automatically segment the proximal femur from individual CT scans

The impact of obesogenic diets on skeletal muscle stem cell function

models affect satellite cell function and in determining whether primary cilium dysfunction is implicated in the loss of regenerative capacity in satellite cells. This project will use the power of mouse

Towards Responsible and Accessible Large Language Models

the original input or lacks factual accuracy, a phenomenon referred to as hallucination. Efforts to detect or mitigate such hallucinations remain nascent, with existing studies relying on ad-hoc metrics or human