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University of Gothenburg/Department of Biological and Environmental Science | Sweden | about 1 month ago
: PhD in evolutionary biology or systematics. Experience of data management and statistical analysis in R. Working knowledge of phylogenetic inference and comparative macroevolutionary analysis Ability
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topics within applied economics. Applicants should have experience with experimental methods and/or empirical analysis of observational data with an emphasis on causal inference. Experience with methods
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Railway Mechanics is the core of the competence center CHARMEC whose research focuses on the mechanical interaction between components in trains and tracks. Among other things, the research provides
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Council to establish a center of excellence: Center for modeling adaptive mechanisms in living systems under stress. We are now opening a tenure-track Assistant Professor position in machine learning with
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occurrence patterns, mark behaviour, and interactions between events, to vary locally in space and evolve over time. The research will include model development, statistical inference and diagnostic methods
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simulations, density functional theory (DFT), molecular simulations, or machine-learning potentials. Experience with generative AI, active learning, uncertainty quantification, Bayesian optimization
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professor, working closely with both senior researchers and the doctoral students, tasked with building up and leading the new research track on verification, validation and quality assurance of autonomous
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application! Your work assignments The project's contribution will lie at the intersection of random matrix theory and statistical inference theory, with applications in several fields of science. Special
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application! Work assignments The project's contribution will lie at the intersection of random matrix theory and statistical inference theory, with applications in several fields of science. Special emphasis
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software for the benefit of Swedish society and industry. Read more: https://wasp-sweden.org/ The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute