Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
Apply and key information This project is funded by: Department for the Economy (DfE) Summary CNC machining delivers high precision but is costly, rigid, and limited in adaptability. Robotic
-
into company valuations. You'll apply cutting-edge machine learning techniques (transformer models, causal forests, double machine learning) to understand which aspects of patent language predict valuable
-
for stress-testing. Training spans multi-agent reinforcement learning, evolutionary computation, adversarial machine learning, game-theoretic modeling, and financial crime compliance. You will design agent
-
artificial intelligence to learn from data and make decisions. However, the real world is always changing. Brain signals vary over time, and machines wear out or behave differently as they age. As a result
-
to compliance professionals for validation studies. Training spans advanced NLP (transformer fine-tuning), financial crime typologies, privacy-preserving machine learning, and product-oriented development. You
-
nutrition, genetic, lifestyle and environmental data; Aim 2. Utilise AI and advanced machine learning approaches to identify novel gene-nutrient interactions to inform personalised nutrition solutions
-
. The successful candidate will join the Intelligent Systems Research Centre (ISRC) at Ulster University’s Magee campus, working with experienced researchers in machine learning and cognitive analytics
-
machine learning with spectral data to enable rapid, non-destructive detection of food adulteration and fraud. Machine learning combined with spectral data can play a vital role in combating food fraud by
-
deep learning’s applicability to achieve environmental sustainability. Post-disaster Damage Assessment Using Satellite Imagery and Machine Learning Supervisor Names: Dr. Muhammad Shafi This project will
-
intelligence (AI) and machine learning (ML) to investigate the role of folate in breast cancer prevention across three interconnected aims spanning epidemiology, clinical biomarkers, and molecular analysis. 1