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candidate will join a growing collaborative research environment at UiA focused on robust inference about ecological and evolutionary change in human-influenced systems. Researchers work with complex data
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scientific discovery, collaborative working experiences, and professional mentorship and support. The postdoctoral associate will be affiliated with the Center for Avian Population Studies (CAPS, https
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(e.g. Gorilla, Prolific, etc.), Awareness of time-series, multilevel, Bayesian, or causal inference analysis, Experience with statistical programming tools (e.g. R, Python) for data analysis
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is an advantage if potential previous experience with data science approaches includes the application of Bayesian inference or probabilistic machine learning to geophysical models. UiO is subject to
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Neural Networks. The group combines expertise in stochastic modeling, Bayesian inference, data fusion and modern machine learning. Its research activities span various application domains such as
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survival data, epidemiologic modeling, Bayesian analysis, modern causal inference, statistical genetics and genomics, machine learning methods, health economics, survey design, systematic reviews
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project, including the host department, PhD programme, starting date, and project-specific qualification requirements, is provided below and in the links. Project descriptions Project 1: Predictive Bayesian