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for an enthusiastic and highly motivated Research Associate or Research Assistant in Medical Statistics to join an interdisciplinary team focused on improving lives through world-class research in ageing, sarcopenia
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. Applications are invited for the position of Lecturer/Senior Lecturer in Statistics within the School of Mathematics, Statistics & Physics. Our Statistics Group is internationally recognised for its strength in
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Associate in statistics to the 3-year Engineering & Physical Sciences Research Council funded project PINCODE: Pooling INference and Combining Distributions Exactly: A Bayesian Approach. The Bayesian fusion
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applications). The BRG is a dynamic group of 33 applied and methodological biostatisticians who work together to develop and implement state-of-the-art statistical methods in health research. The role will be
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, Statistics and Physics. The posts are offered as fixed-term for 11 months to commence in July 2024 or as soon as possible thereafter. The post holders will provide high quality teaching to undergraduate
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analysis (e.g. economics, statistics, mathematical modelling). They will also have completed an MSc in one of these areas. For the position of Research Assistant, applicants should have a Masters in Health
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-based proteomics experiments. Data analysis of various kinds of proteomics experiments including statistical analysis and data visualization, Development of sample preparation and LC-MS methods for low
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thesis for examination. You will have experience with data handling, databasing and statistical/bioinformatic analysis as applied to translational cancer research, and a keen interest to develop your
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LLM Models and Artificial Intelligence systems. Candidates should have a Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, Statistics
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skills Excellent communication skills Experience in statistical analyses Desirable Publications in good quality peer reviewed journals (or evidence of manuscripts in preparation, submission or review