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Found 4953 items for the search term sheffield

Prospectus and guides

Order a Sheffield Hallam prospectus or city guide. Find out about our courses and how to become a new student at Hallam

Current research students

A list of research students currently working at the Thin Films Research Centre at Sheffield Hallam University's Materials and Engineering Research Institute

Ian Gatt

Ian is a part-time PhD student at the Centre for Sports Engineering Research, studying while working full-time in his role as an EIS Physiotherapist with the GB Boxing programme in Sheffield

Linda Van Gelder

Linda is a PhD student in the Centre for Sports Engineering Research at Sheffield Hallam University, studying the effect of biofeedback in a yet to be specified patient group

Staff profiles

Pamela Ruth Whiteside

Senior Lecturer in Food and Nutrition in the Department of Service Sector Management at Sheffield Business School

Hallam picks up HE award

Sheffield Hallam picks up award at higher education's most prestigious ceremony

News

Exposing the emotional toll of probation work

Our research has raised awareness of how probation workers use their emotions to carry out their job — and helped make their wellbeing a priority.

Tags:
Building stronger communities
Enabling healthier lives
REF2021
Social policy
News

Helping breast cancer patients make life-changing decisions

Mortality rates are higher for breast cancer patients over 70. We developed a unique tool to help them get the best possible treatment.

Tags:
Enabling healthier lives
REF2021
Health

Sewing support for NHS frontline workers

Staff at Sheffield Hallam have joined a national call to action by using their skills to produce PPE equipment desperately needed by frontline health and social care workers responding to the Covid-19 pandemic.

Tags:
Health
Civic

Sheffield Hallam University and Guildhawk maintain their close partnership, and are now Enhancing AI with Multilingual Data

This pioneering collaboration aims to revolutionise the way datasets are used for training machine learning models. The focus is upon multilingual work essential in sectors such as medical, engineering, and safety. Inadequate or biased labelling can lead to AI 'hallucinations' – generating incorrect or prejudiced responses – which can have dire consequences in high-stakes industries.

 

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