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Field
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data, epidemiologic modeling, Bayesian analysis, modern causal inference, statistical genetics and genomics, machine learning methods, health economics, survey design, systematic reviews, behavioral
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, or multitrophic interactions is a strong merit. Experience with computational methods such as multilayer networks, Bayesian inference, or higher-order network models is also a merit. The ability to communicate
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systems (e.g., VINCI). Due to federal requirements, eligibility may be limited based on citizenship or visa status. Experience using or modifying machine learning models such as decision trees, Bayesian
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in chemistry and biology, approaches for extracting relevant information from foundation models, and/or methods for adaptive experimental design such as active learning or Bayesian optimization
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 13 hours ago
well as Bayesian borrowing can help address sample size and ethical concerns for rare diseases. Collaboration between the statistician at DB9 and the clinical team at the Division of non-malignant hematology to map
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is required Desired qualifications: Experience with data assimilation, probabilistic machine learning, Bayesian inference, inverse modeling, and/or simulation-based inference is an advantage
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-throughput data in the context of human disease. Strong programming skills are essential, particularly in Python, R, or MATLAB, alongside familiarity with Bayesian methods and statistical modelling. A proven
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) Experience with probabilistic planning, Bayesian methods, or sensor fusion. Experience in field robotics or marine robotics. Experience with embedded systems or hardware integration. Willingness to obtain a
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project-specific requirements. Students can deepen their knowledge about selected topics (e.g. Bayesian Statistics, HMMs, AI, advanced programming in Python) in small classes of max. 10 participants
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requirements, is provided below and in the links. Project descriptions Project 1: Predictive Bayesian inference and foundation models Employment: University of Oslo, Department of Mathematics PhD programme