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Field
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-visible-spectrum reflectance). This project brings together statistical modelling of the data-generating process with machine learning, including deep learning, techniques, to model and predict bumblebee
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quantitative analysis (e.g., t-test, Mann-Whitney U), and skills for visualizing data in advanced software programs. Good written and spoken English language skills are mandatory for publication purposes
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image analysis and the use of geographic information systems in studies to monitor the abundance of stalked barnacles; - experience in univariate and multivariate statistical analysis of ecological data
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Degree or equivalent Skills/Qualifications - Masters degree in biostatistics, epidemiology, public health or equivalent with good knowledge in statistics - Experience in statistical analyses using R
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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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into zebrafish tail motion, so behavior.We will explore different methods of quantifying casual information transmission that link neural encoding and zebrafish behavior. We will look for statistical signatures
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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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technologies and processes. 2. Quantification of environmental impacts. 3. Statistical analysis. 4. Systems optimization. 5. Dissemination of results. Requirements Research FieldEngineering » Chemical
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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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statistical learning. It is well known that data can be highly sensitive, and that naive anonymization is not sufficient to avoid disclosure. Models and aggregates can also lead to disclosure as they can