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sampling, arc-boat surveys, electric fishing, fish telemetry, statistical analysis (e.g R), GIS and technical writing. We are looking for a dedicated person with a background in environmental science related
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. The Prob_AI hub will focus on probabilistic AI, and bring researchers with skills across areas such as Bayesian and Computational Statistics, Dynamical Systems, Numerical Analysis, PDES, Probability, Stochastic
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exposure methods to enhance comprehension of material corrosion in hypersaline environments. Reliable test methodologies and statistical analysis techniques will be employed to assure conclusive
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)) models are used at all stages of pre-clinical and clinical development, but they are based on mathematical and statistical principles dating from the 1970s. Developing these pharmacometric models remains a
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affect these trajectories using discontinuous growth modelling and/or other appropriate statistical analyses. Additionally, the student will conduct a qualitative interview study to understand
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legibility will be evaluated against human response times of user confirmations in a variety of scenarios, using appropriate statistical testing to test the efficacy of the models. The project forms part of a
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generalisability compared to traditional adaptive control methods. Rigorous theoretical and statistical analysis will be carried out to prove the effectiveness of these proposed techniques. Hence, a strong
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and/or EU market context. The successful applicant must have strong quantitative, statistical, and analytical skills. Demonstrated knowledge of Python and Machine Learning techniques will be
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statistics and will have a background in psychology or a related discipline. They will be supervised by Dr Sam Farley, Dr Nicola Thomas, and Professor Jeremy Dawson from the Institute of Work Psychology
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sequencing, qRT-PCR, western blotting, bioinformatics, ELISA, cell culture, statistics, and literature reviews. A working knowledge of these techniques is therefore desirable. We will compare subtypes, detect