PhD Scholarship: Real-Time Brain Injury Prediction and Protection Framework for Intelligent Vehicles

Salary: £12.00 per hour Hours: 12 hours per week Location: 549 Ecclesall Road, Sheffield, S11 8PRWe are looking for an enthusiastic and committed Sales Assistant to be part of a new shop that is due to open in July - you will be required to help drive sales to target whilst supporting the Manager, Deputy Manager and volunteers. You will be required to cover...

Doctoral Degree Program in Computer Science, University of Sheffield, United Kingdom Join the University of Sheffield's Computer Science department for a groundbreaking PhD opportunity in neuromorphic computing. This project delves into the realm of machine learning and physics, aiming to revolutionize computing paradigms by emulating the human brain's...

An excellent opportunity has arisen for a Supervisor in our new shop in Sheffield due to open in June.We are looking for an enthusiastic and committed Sunday Supervisor to help drive sales to target whilst covering the shop.- £12.54 per hour 5 hours per week 549 Ecclesall Road, Sheffield, S11 8PRHeadway is a national charity that works to improve life after...

Recent years have witnessed significant strides made by machine learning-based computer vision, thus enabling machines to interpret and understand visual information. However, most machine learning approaches exploit correlational relationships in a training data set to predict a target variable. When these correlations are spurious or unreliable, those...

Recent years have witnessed significant strides made by machine learning-based computer vision, thus enabling machines to interpret and understand visual information. However, most machine learning approaches exploit correlational relationships in a training data set to predict a target variable. When these correlations are spurious or unreliable, those...

Recent years have witnessed significant strides made by machine learning-based computer vision, thus enabling machines to interpret and understand visual information. However, most machine learning approaches exploit correlational relationships in a training data set to predict a target variable. When these correlations are spurious or unreliable, those...

Geographic Information Systems (GIS) have seen a major shift thanks to recent strides in aerial and satellite data technologies, covering acquisition, sharing, and interpretation. However, challenges in data quality and compatibility persist, necessitating manual corrections that are both time-consuming and limit scalability. Despite the availability of...

Geographic Information Systems (GIS) have seen a major shift thanks to recent strides in aerial and satellite data technologies, covering acquisition, sharing, and interpretation. However, challenges in data quality and compatibility persist, necessitating manual corrections that are both time-consuming and limit scalability. Despite the availability of...

Geographic Information Systems (GIS) have seen a major shift thanks to recent strides in aerial and satellite data technologies, covering acquisition, sharing, and interpretation. However, challenges in data quality and compatibility persist, necessitating manual corrections that are both time-consuming and limit scalability. Despite the availability of...

Artificial intelligence (AI) applications are transformative, but they are becoming increasingly unsustainable. Many AI models require extensive training with large model sizes. As an alternative reservoir computing exploits random fixed networks to transform data to simplify training. By creating structure within these networks, much like the natural...

Artificial intelligence (AI) applications are transformative, but they are becoming increasingly unsustainable. Many AI models require extensive training with large model sizes. As an alternative reservoir computing exploits random fixed networks to transform data to simplify training. By creating structure within these networks, much like the natural...

Neuromorphic devices aim to emulate the structure of the human brain to develop resource efficient computing systems. Recent developments have shown strong growth but the complexity of manufacturing many operating elements is challenging to scale indefinitely. To circumvent this, we aim to use bespoke nanoscale devices as 'complex' neurons that operate as...

Neuromorphic devices aim to emulate the structure of the human brain to develop resource efficient computing systems. Recent developments have shown strong growth but the complexity of manufacturing many operating elements is challenging to scale indefinitely. To circumvent this, we aim to use bespoke nanoscale devices as 'complex' neurons that operate as...

Do you want to pioneer using cutting edge technology to investigate how work-related interactions are impacting employees' loneliness? This fully funded PhD offers access to a vibrant research community within the Institute of Work Psychology and an opportunity to collaborate with experts from the University of Canterbury in New Zealand.The overarching aim...

Do you want to pioneer using cutting edge technology to investigate how work-related interactions are impacting employees' loneliness? This fully funded PhD offers access to a vibrant research community within the Institute of Work Psychology and an opportunity to collaborate with experts from the University of Canterbury in New Zealand.The overarching aim...

Wellbeing at work is a dynamic construct and to foster wellbeing in organizations, we need to understand how it evolves and identify its change trajectories. However, there is a scarcity of theories in Work and Organizational Psychology that explain how wellbeing at work develops. This omission limits our understanding of the dynamic nature of wellbeing at...

Wellbeing at work is a dynamic construct and to foster wellbeing in organizations, we need to understand how it evolves and identify its change trajectories. However, there is a scarcity of theories in Work and Organizational Psychology that explain how wellbeing at work develops. This omission limits our understanding of the dynamic nature of wellbeing at...

The project combines state-of-the-art advanced mathematical tools and numerical simulations to better understand, predict and control pipeline flows for greener transportation and energy.Working under the supervision of Dr Elena Marensi and Prof. Pierre Ricco, the successful candidate will join a vibrant and multidisciplinary team of researchers within the...

The project combines state-of-the-art advanced mathematical tools and numerical simulations to better understand, predict and control pipeline flows for greener transportation and energy.Working under the supervision of Dr Elena Marensi and Prof. Pierre Ricco, the successful candidate will join a vibrant and multidisciplinary team of researchers within the...

About the ProjectRemote patient monitoring facilitated by mobile sensing technology is on the way to changing how patients are monitored and treated. By analysing extensive data from wearable devices and smartphones, you will build AI-based models that can lead to early detection of potential health issues and personalised interventions. The integration of...