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Exactly: A Bayesian Approach. The project aims to address the challenges in pooling inference, by developing and implementing either exact or asymptotically exact Monte Carlo algorithms in collaboration
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opportunity for a highly motivated and skilled Research Associate/Assistant in statistics to join the EPSRC funded project PINCODE: Pooling INference and COmbining Distributions Exactly: A Bayesian Approach
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
of machine learning, uncertainty quantification, and Bayesian modelling. They will provide complementary expertise to bridge agentic AI with real-world impact. What We Are Looking from You Background in
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learning, evidence synthesis in public health and statistical genetics and genomics. We are recognised for our strength in Bayesian inference applied to biomedicine and public health. The MRC Biostatistics
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close to the nest [1 ] but to better understand foraging, we need landscape level detail. The direction of the project can be tailored, but could include developing and applying Bayesian ML approaches
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health. You will develop and apply cutting-edge machine-learning techniques to identify the most informative indicators of ecosystem change and use them to build dynamic Bayesian network (DBN) ecosystem
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Revolutionising Infection Diagnosis Through Targeted Radiometal Imaging Background of the Project: People with conditions like heart disease, diabetes, cancer, organ transplants
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Revolutionising Infection Diagnosis Through Targeted Radiometal Imaging Background of the Project: People with conditions like heart disease, diabetes, cancer, organ transplants
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PhD Studentship: The Role of O-glycosylation of the Stalk Region of the Immunoglobulin Receptor GPVI
target due having major roles in thrombosis but limited roles in haemostasis, and GPVI inhibitors have shown promising results in clinical trials for preventing heart attack and stroke. GPVI is a single
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algorithms based on neural activity data (local field potentials, LFPs) from key deep brain stimulation targets including the basal ganglia and thalamus. Auxiliary data available to implanted devices include