Barclays currently operates a complex network of data services, comprising a range of large heterogenous databases, key-value stores, object stores and more. Read more
The emergence of Internet of Things (IoT) has formed a bridge that connects most of the real-world entities with the related computer entities. Read more
Rationale. Shopping history records collected by supermarkets contain population level health information which could be missing from traditional health research data such as medical records. Read more
The proliferation of Big Data analytics is developing ever more sophisticated models for intelligent data-driven insight and decision making in business and in other areas such as health and social care. Read more
This proposal is part of the Data-mdapps project which is a collaboration between Kingston University and the WHO European Office for the Prevention and Control of Noncommunicable Diseases (NCD Office) and focuses on addressing the challenges of developing a technical and security policy framework for digital health behavioural data processing. Read more
In today's data-driven landscape, the importance of data-centric machine learning methodologies cannot be overstated where they prioritize the quality, diversity, and accessibility of data, recognizing that the performance and reliability of machine learning models heavily depend on the data they are trained on. Read more
In today's data-driven landscape, the importance of data-centric machine learning methodologies cannot be overstated where they prioritize the quality, diversity, and accessibility of data, recognizing that the performance and reliability of machine learning models heavily depend on the data they are trained on. Read more
Rationale. Shopping history records, collected via purchases tracked on loyalty cards, can provide a new perspective on lifestyle choices and behaviours and how these relate to health outcomes such as cancer. Read more
Natural Language Processing (NLP) models, including Large Language Models (LLMs), are becoming increasingly popular and are adopted for many practical applications. Read more
The incidence of early-onset cancer has surged by nearly 80% since 1990, with high and middle-income countries, including the UK, experiencing the most significant increase. Read more
Skeletal dysplasias are a heterogenous group of congenital bone and cartilage disorders with genetic etiology. There are currently 461 recognised diseases that fall into this category. Read more
. *Please note that the closing date for this project has been brought forward* . The novel integration of artificial intelligence (AI) in analysing telemetry data represents a paradigm shift, offering unprecedented insights into fish behaviour and responses to environmental changes. Read more
Graph theory and graph networks play a crucial role in examining multi-modal remote sensing data owing to their capacity to depict intricate connections and interactions within the data. Read more
Graph theory and graph networks play a crucial role in examining multi-modal remote sensing data owing to their capacity to depict intricate connections and interactions within the data. Read more
Green urban spaces offer vital clean-air zones for residents, but their typical proximity to major traffic routes poses significant challenges for air quality monitoring and maintenance. Read more
Applications are invited for a 3.5 years PhD studentship within the Environmental Intelligence doctoral training programme at the University of Plymouth. Read more
HDR UK is funding six PhDs with leading UK universities and research organisations. This brand-new programme offers the chance to carry out a doctoral research project at the leading edge of health data science. Read more
About the Project. Plant-based dairy and meat alternatives have grown in popularity in recent years for various reasons, including sustainability and health benefits, as well as lifestyle trends and dietary restrictions. Read more
Smart IoT (Internet Of Things) based Applications, such as smart city/building/home and smart factory, are characterized as sensor-driven technology, which has the tendency of producing huge volume of data with increasing velocity. Read more
Background. Network security remains a critical challenge in today's world, with the ever-evolving landscape of cyber threats demanding new and adaptable solutions. Read more
This is an open call for research proposals related to gendered perspectives of data science. Diversity is vital to data science, given its crucial role in understanding the world, communicating information, and guiding behaviour. Read more
Funding provider: Health Data Research (HDR) UK. Subject areas: Population Data Science. Project start date. 1 October 2024 (Enrolment open from mid-September). Read more
With the advent of advanced technology, a vast amount of data has become available, making the integration of information across spatial and temporal scales increasingly crucial for understanding complex systems and making informed decisions. Read more
*Offer only available for the duration of your active subscription, and subject to change. You MUST claim your prize within 72 hours, if not we will redraw.
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