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We have 66 statistical machine learning PhD Projects, Programmes & Scholarships
statistical machine learning PhD Projects, Programmes & Scholarships
We have 66 statistical machine learning PhD Projects, Programmes & Scholarships
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Statistical machine learning for computational neuroscience
This project will focus on signal processing in neuroscience applications using state-of-the-art statistical machine learning techniques. Read more
Fully Funded Doctoral Studentship in Machine Learning for Enhanced Biopharmaceutical Production
Project Title. Fully Funded Doctoral Studentship in Machine Learning for Enhanced Biopharmaceutical Production. Read more
Explainable artificial intelligence in Bayesian machine learning research and applications
Artificial intelligence (AI) has been successfully applied to various applications with the breakthrough of deep learning (DL) in recent years. Read more
Using machine learning to predict cell-type specific effects of genetic variants which influence genome regulation
UK Dementia Research Institute (UK DRI) Centre at Imperial. PhD Studentship in Machine Learning for Genomics. Imperial College London. Read more
Using machine learning to predict cell-type specific effects of genetic variants which influence genome regulation
UK Dementia Research Institute (UK DRI) Centre at Imperial. PhD Studentship in Machine Learning for Genomics. Imperial College London. Read more
Last chance to apply
Patient-centric Machine Learning Approach to Improve Clinical Trial Efficiency and Effectiveness
This 4-year University of Bristol PhD scholarship is funded by Roche a global biotech company, a leading provider of in-vitro diagnostics and a global supplier of transformative innovative solutions across major disease areas. Read more
Utilizing Data Augmentation Techniques for Applying Machine Learning Techniques in Survival Analysis with Limited Data Availability
Introduction. Survival analysis is a subfield of statistics that deals with predicting the duration of time until a specific event occurs, such as the failure of a machine, occurrence of a disease, or death of a patient. Read more
PhD studentship in Machine Learning
One fully funded PhD position to work with Dr Henry Gouk in the School of Informatics at the University of Edinburgh, on a projected titled “Machine Learning with Context”. Read more
Funded PhD Studentship on Robust and Efficient Machine Learning Algorithms
Overview. I am looking for a PhD student with an interest in the design of efficient and robust machine learning and data processing algorithms using tools from applied probability, signal processing and statistical mechanics. Read more
Discovery of zero thermal expansion materials using Machine Learning and Advanced Data Analytics (Reference NSGZTEML2023)
Low and zero thermal expansion materials are used in many industries where size stability under high temperatures is critical e.g., aerospace, precision manufacturing, sensors. Read more
Exploring the challenges and opportunities of Natural Language Processing (NLP) in Social Media Analytics within healthcare
Research Group:
Visual Computing
Social media analytics, as described by techopaedia (2021) is the approach of collecting data from social media… Read more
Enhanced Deep Learning and Semantic-based Predictive Analytics for Reactive IoT Streaming Data and Applications
The emergence of Internet of Things (IoT) has formed a bridge that connects most of the real-world entities with the related computing entities. Read more
Discovery of new materials for applications on glass using Mathematical Optimisation and Machine Learning methodologies (Ref NSGPVCS2023)
The functionalisation of flat glass is a multi-billion-dollar industry spanning applications including displays technology, energy saving windows and energy generation through photovoltaics. Read more
Exploitation of Artificial Intelligence and Machine Learning for Quantity Surveying Practice: Using AI as an opportunity to improve Cost Certainty
Artificial Intelligence (AI) and Machine Learning (ML) often tends to go hand in hand for its propensity to mimic human cognitive functions such as problem solving, pattern recognition and respond to certain actions accordingly. Read more
Machine learning and statistical modelling of trans-omic networks in controlling cell identity, cell-fate decisions, and cancers
The advances in mass spectrometry-based proteomics and phosphoproteomics, and next-generation sequencing-based transcriptomics and epigenomics create the opportunity to study cell identity, cell-fate decisions, and complex diseases such as cancers at a system level. Read more