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interest in biodiversity, functional ecology, image/video analysis, and conservation. Experience with programming, statistical analysis, or spatial modelling is desirable but not essential, as full training
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in treatment receipt, time-to-treatment and treatment adherence will be assessed using linked data from the Clinical Practice Research Datalink, Hospital Episode Statistics and the Cancer Registry. In
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discipline) Evidence of engagement in research activities (e.g., managing a research project, publishing journal articles, conference presentations) Experience of using statistical and/or analytical software
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(or the international equivalents) in Biosciences, Engineering, Environmental Science, Physics, or Mathematics and Statistics, we would like to hear from you. If your first language is not English, or you require Tier 4
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mass spectrometry. Training on data analysis including relevant image analysis software, statistical analysis including graphpad prism and R and flow cytometry analysis using FlowJo will also be provided
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areas, could include deep learning (e.g. Long Short Term Memory - LSTM), statistical baselines (e.g. Autoregressive Integrated Moving Average - ARIMA, Kalman filters) and transformers (e.g., spatio
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, developing spatial statistical models, and translating results into actionable insights for policy and adaptation. The strength of the project lies in its interdisciplinarity, combining atmospheric science
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spreads in natural waters. Training will cover microbial genomics, evolution assays, GIS, and advanced statistics, alongside transferable skills in interdisciplinary collaboration and science communication
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good Master’s degree in Mathematics, Statistics, Computer Science, Engineering, Physics, with good programming, analytical problem-solving, writing and presentation skills. Please direct project specific
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a Federated Learning approach to deploy the AI, ensuring robust privacy preservation of sensitive student data. The successful applicant will undertake advanced statistical analysis and stakeholder