25 phd-mathematical-modelling-population-modelling Postdoctoral positions at Chalmers University of Technology
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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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. The overall aim of this project is to address these challenges by: Developing new data-driven and physics-based models of battery behaviour. Designing advanced BMS algorithms for real-time monitoring and
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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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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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This multidisciplinary position is part of a WASP NEST (Novelty, Excellence, Synergy, Teams) project focused on advancing generative models and perceptual understanding in computer vision. The
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of a collaborative research project at the intersection of technology and medicine, with the possibility of extending the role for an additional year. About us The Department of Mathematical Sciences
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efforts. The theoretical activities at Chemical Physics focus on electronic structure calculations within the density functional theory together with mean-field kinetic modeling and kinetic Monte-Carlo
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different mixing and reactive properties compared to conventional fuels. In this project, turbulent mixing and combustion of hydrogen in air will be studied through optical experiments and numerical modelling
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recovery from alternative biomasses. In nutrition, we focus on human observational and intervention studies as well as cell- based model studies and apply advanced data-driven approaches and state of the art
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. Project overview The project involves applying advanced statistical analysis, machine learning techniques, and modeling approaches such as agent-based modeling to analyze diverse climate and socioeconomic