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, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS ) aims to recruit and train the
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methods in applied mathematics and computational modeling, this specific project aims to uncover new insights into how blood cells form in both healthy and disease states. A key objective is to model
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global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS ) aims to recruit and train the next generation of data-driven life scientists and to create globally
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millions of species. However, computational challenges exist in using these massive genomics datasets for species delimitation. The multispecies coalescent (MSC) model offers a framework for understanding
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biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life
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cultivation facilities, long-term field trials, national biotope monitoring, a molecular laboratory, and access to the national infrastructure SciLifeLab and NAISS . Read more about the department here . Read
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We are looking for a postdoctoral researcher to develop and implement tools for analysis of output from Bayesian inference under phylogenetic models About the position A postdoctoral researcher
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We are looking for a researcher to develop and implement tools for analysis of output from Bayesian inference under phylogenetic models. About the position A researcher position is available in
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at the highest international level and offers several high-quality educational programs, we are now seeking a postdoctoral researcher to work on privacy for data-driven models and high-dimensional data