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, multilevel modeling, data mining, survey methodology and Bayesian influences. (Required) Ability to conduct power calculations to determine sample size needed to answer research questions. (Required
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. These phylogenetic analyses will employ different methods (parsimony, Bayesian, stratigraphic or morphological forcing, etc.). The exceptional quality of the fossils, that of the CT- and synchrotron data already
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. et al. (2024). Design of high-performance entangling logic in silicon quantum dot systems with Bayesian optimization. Scientific Reports 14, 10080. https://doi.org/10.1038/s41598-024-60478-9
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nets, stochastic processes, Bayesian networks, etc.), who could integrate well into the laboratory. In coordination with the platforms of the laboratory, the recruited person will be responsible
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relevant to modern data science (e.g., Bayesian or frequentist inference, information theory, uncertainty quantification, high-dimensional methods). Programming skills in Python and/or R, with evidence of
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subcellular mechanisms (proliferation, differentiation) with multicellular mechanical and biochemical interactions. Apply Advanced Statistical Methods: Perform Bayesian parameter estimation and identifiability
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at the interface of computational systems biology and mathematics/statistics with a strong attitude to open research software development. For more information visit http://www.fz-juelich.de/ibg/ibg-1/modsim
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computing (HPC) and parallel processing to enable the analysis of massive datasets. Experience in advanced statistical inference (e.g., Bayesian statistics, spectral methods) for extracting robust patterns
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description The position is connected to the project “Bayesian Enhanced Tensor Factorization Embedding Structure (BETTER)”, and this PhD project specifically aims at developing a unified, scalable, and
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Bayesian method for inferring and interpreting the dynamics of adaptive landscapes. Systematic Biology. Zelditch, M. L., Swiderski, D. L., & Sheets, H. D. (2012). Geometric Morphometrics for Biologists: A