50 "Statistical modelling" scholarships

PhD candidate - Statistical models and methods for spatio-temporal data

of the Earth. Statistical modelling and methodologies play important roles here, enabling reliable predictions and uncertainty quantification that aid decision support. Key research and innovation areas include

PhD position in Engineering

data will be used to develop a statistical model through the use of the DOE application. As a result of Taguchi's approach, this method reduces the number of tests required and enables the design of

Fully Funded Health Data Research UK PhD Scholarship: Use of Real-World Evidence in Health Technology Assessment for Multiple Long-term Conditions

statistical modelling, epidemiology, population data science and health technology assessment, with the opportunity for their research to directly inform healthcare policy and practice. The successful student

Research Studentships (for PhD students) - (BL91/2024_IST-ID)

tools, statistical models and BIM (30%). The final evaluation results from the sum of the curricular evaluation and the interview evaluation. If none of the candidates has the appropriate profile

PhD Studentship: Predictive Performance Dispersion Model of Satellite Thrusters

tolerances that can influence the performance of the thruster unit. Develop a statistical model, based on first principles physics, to predict the performance of the thruster unit given a set of parametric

PhD Candidate Statistics & Data Science

internationally in our research and study programs. In the newly established research group “Statistics & Data Science”, we develop and evaluate statistical models and analysis methods in psychology. Our research

PhD Studentship - Using Exposome, Omics, and AI to Develop a Digital Platform for Tailoring the Care of Children with Autism Spectrum Disorders

statistical models and artificial intelligence (AI) algorithms including generative AI. The platform will allow policymakers, carers, and healthcare staff to get tailored psychosocial care plan for individuals

call for Research Studentships (for students of a course that does not award an academic degree), Scientific Area: Structural and Computational Mechanics

, collect and analyze urban transport data, and test and develop statistical models to predict transport demand and flows. These models should be applied to real case studies. Legislation and Regulations

PhD Studentship: Nature Protection Versus Nature Restoration: Who Benefits and Who Loses Out?

networking opportunities are available. Person specification This opportunity would suit candidates with a strong background in conservation science and statistical modelling, as well as a keen interest in

PhD. Candidate – Machine Learning and Artificial Intelligence for Forensic Non-Human DNA Recognition and Interpretation

. Expertise in Bayesian statistics, likelihood ratio computation and statistical modeling. Expertise in Machine Learning and Artificial Intelligence. Experience in forensic science research or relevant