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Field
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will apply and develop machine learning and Bayesian methods adapted to longitudinal design In the Research Council of Finland Project 'Body weight trajectories; Molecular entropy and aging with multi
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candidates with experience in software design, Python and CUDA coding, molecular dynamics calculations, and model building. Knowledge in physical chemistry, Bayesian statistics, machine learning, computational
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analysis, and MATLAB-based simulations enhanced by Bayesian Machine Learning. The ideal candidate should have a strong background in cell culture, and lipid metabolism, with experience in mass spectrometry
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potential signatures of deconfinement phase transitions. The successful postdoctoral fellow will be responsible for maintaining and further developing the Bayesian analysis tools for equation-of-state
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., interventions), advanced statistical modeling skills (e.g., Bayesian mixed models), advanced cognitive modeling skills (e.g., signal detection theory, evidence accumulation models, reinforcement learning), and
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the ability to develop novel Bayesian statistical methods, size spectrum models, and other custom statistical models representing the temporal dynamics of fishes. The Research Senior Associate should have
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Max Planck Institute for Solid State Research, Stuttgart | Stuttgart, Baden W rttemberg | Germany | 3 months ago
prioritize candidates with experience in software design, Python and CUDA coding, molecular dynamics calculations, and model building. Knowledge in physical chemistry, Bayesian statistics, machine learning
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Arctic locations- Knowledge of spatial analysis and Bayesian statistics - Previous experience conducting fieldwork in northern ecosystems - Experience working with drone imagery and drone piloting Offer
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simulations of reactor core, and other system components Develop reduced-order calibration approaches and apply machine learning and Bayesian calibration methods to enable multi-scale, multi-physics model
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Postdoc (f/m/d) Computational Ecologist/Species Distribution Modeller / Completed university stud...
the specified area # Sound knowledge in ecological niche modelling and modelling of spatial dynamics # Experience in Bayesian hierarchical modelling # Preferably knowledge in ‘joint species distribution modelling