201 Education-"FACULTY-OF-ECONOMICS-AND-BUSINESS" positions at University of Sheffield in United Kingdom

Children with Speech Sound Disorders in Primary Schools: Views, Attitudes and Experiences of Children, Families, and Educators

Children with Speech Sound Disorders in Primary Schools: Views, Attitudes and Experiences of Children, Families, and Educators School of Allied Health Professions, Nursing and Midwifery PhD Research

The School of Education Doctoral Opportunities as part of the Faculty of Social Sciences

The School of Education Doctoral Opportunities as part of the Faculty of Social Sciences Faculty of Social Sciences Social Sciences Research Programme Funding Available UK/EU Students Details The

Develop a machine learning approach to multimodal imaging

Develop a machine learning approach to multimodal imaging Department of Physics and Astronomy PhD Research Project Competition Funded UK Students Dr A Cadby,  Dr J King Application Deadline

Dr S Fricke

Children with Speech Sound Disorders in Primary Schools: Views, Attitudes and Experiences of Children, Families, and Educators

Artificial intelligence to Building Energy Systems for Next Generation Control Strategies

factors influence the demand and deployment to maintain thermal comfort and meet regulatory requirements. This project will capitalise on the emergence of AI tools to develop a novel control system based

Efficient In Silico Trials for Bone Diseases

based within the Integrated Musculo-Skeletal Biomechanics Group in the Insigneo Institute for in silico Medicine, a collaboration between the University of Sheffield, Sheffield Teaching Hospitals NHS

Ultrafast dynamics of Photoactive Metal Complexes for antibacterial applications

to develop new antibacterial metal complexes which kill bacteria under visible light. Project details: Antimicrobial resistance is one of the key challenges of the modern times. We believe that photochemistry

Investigating immune responses to skin and soft tissue infection

to S. aureus infection. Building on work currently being performed in the group, you will develop novel long-read single-cell RNA sequencing approaches using Oxford Nanopore Technology for accurate cell

Machine learning models for prognosis prediction in periodontal treatment

aim to develop a powerful and user-friendly tool that predicts individual patient outcomes with high accuracy. The project unfolds over three years. In the first year, we will gather and analyse patient

Quantitative logics and complexity theory

://www.virtema.fi/ for my recent works in this direction. The concrete direction the student takes is flexible. One exciting direction is to develop the theory of quantitative hyperproperties which can express, e.g