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We are seeking a highly motivated person to conduct research in economic modelling of forest resources to support analysis of environmental and climate change issues. About the position The project
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Join us to pioneer next-generation generative models that accelerate molecular dynamics. We seek a postdoctoral researcher to develop AI surrogates for molecular dynamics (MD), slashing
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students, for up to a maximum of 20% of your time. This position is a full-time temporary employment for two years. Eligibility The applicant should have a PhD degree in a relevant area, such as mathematics
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The applicant is required to have a PhD degree in Software Engineering with a focus on Model-Driven Engineering and AI. The applicant must have completed the degree no more than three years before the end
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models into Chalmers’ bridge simulators in collaboration with other researchers. You are also expected to supervise PhD and MSc students and to publish at least two peer-reviewed journal articles during
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educational programs, we are now seeking a postdoctoral researcher to work on privacy for data-driven models and high-dimensional data. The position is full-time for two years, starting on 1st September, or as
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physics, applied mathematics, machine learning, bioinformatics, biophysics, spectroscopy, image processing, ecological modeling, molecular biology, plant physiology, marine biology or an interest in gaining
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to predict injuries for the whole population, in collaboration with industry, academia, authorities, and insurance companies. Main responsibilities Computational Modeling and Simulation Develop and validate
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The Division of Vehicle Safety studies accidents, driver reactions, and injury mechanisms. The Injury Prevention group develops Human Body Models to predict injuries for the whole population, in collaboration
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in mouse models and cell cultures. Analyze and interpret omics data using bioinformatic pipelines in Python and R. Perform experiments in cell culture and animal models to validate the findings