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Wageningen University & Research | Wageningen, Provincie Gelderland | Netherlands | about 2 months ago
approaches for uncertainty quantification, large-scale prediction, model-based learning, causal inference, network learning, or related areas. Experience with Bayesian methods, whether theoretical
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. YOUR TASKS Job description In vitro Multi-Electrode Arrays (MEAs) are a nonperturbative method used in neuroscience to measure the electrical activity of a network of cultured neurons. Such in vitro
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modelling and emissions) and collaborate within a Helmholtz-wide network with expertise in: - Bayesian deep learning neural processes (Helmholtz Munich) - air quality measurements and exposure science (RIFS
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moralization of issues across parliamentary debate, news media and social platforms; Three-wave panel surveys with embedded, pre-registered survey experiments, combined with Dynamic Bayesian Network (DBN
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elucidation. ELECTRA is one node in a planned nationwide network of PCL Test Bed facilities that will let researchers anywhere, including at institutions with limited access to advanced
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: Bayesian methodologies, temporal or geospatial prediction, network analysis, text analytics, statistical learning, or causal inference. Required Application Materials Electronic submission is
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, combinatorial optimization or Bayesian network analysis Large language models or machine learning/predictive modeling for longitudinal data analysis Strong computer programming skills Strong mathematical
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Bayesian modelling methods, to investigate how Arctic plant communities and their functional composition have changed over time and in response to warming, precipitation change, and other environmental
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help develop personalised models. The practical element of your project will be based on, but not limited to, time series analysis, network analysis, Bayesian inference, Machine Learning, as well as
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computing. The division is an important part of the eSSENCE e-science collaboration and of the Science for Life Laboratory ( SciLifeLab ) network, a national research infrastructure for life sciences. The