11 software-engineering-model-driven-engineering-phd-position-"https:" Fellowship positions at University of London
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in partnership to achieve excellence in research, education and translation of knowledge into policy and practice. We’re seeking an enthusiastic mathematical modeller interested in learning new skills
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collection across the region. For applicants without a doctoral degree, opportunities to undertake a PhD within the project will be offered. The position is full-time and fixed-term until 31 December 2028
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the design, development, deployment and evaluation of NeoShield’s applied machine-learning systems, the machine-learning-driven Clinical Decision Support Algorithm for neonatal sepsis and the real-time ward
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to work: Please note that it will not be possible for the University to issue a Certificate of Sponsorship to the successful candidate for this position. Therefore, the appointable candidate will need to be
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at LSHTM. The post-holder must have a postgraduate degree in a relevant topic (ideally Medical Statistics or equivalent) and relevant experience in using regression models for data analysis and statistical
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epidemiological or econometric methods, using R software package, and an understanding of techniques used in agent-based modelling. The post is full-time 35 hours per week, 1.0 FTE and fixed term until 31 December
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in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. We are seeking a statistical modeller for the D-MOSS project
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search strategies and lexicons. Proficiency in fitting and validating statistical models or machine learning algorithms is essential, along with advanced skills in R and/or Python for data processing and
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About the Role These are two Clinic Research Fellow posts in Haemato-Oncology. The successful applicants will be expected to undertake a research project resulting in a PhD in the Centre for Haemato
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designing study protocols and submitting ethics applications; qualitative research using NVivo or similar analysis software; mixed-methods research; statistical analysis; training and supervising teams