16 phd-software-testing-scholarship Postdoctoral research jobs at Chalmers University of Technology in sweden
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of protective materials Perform validation studies to ensure computational model accuracy against experimental benchmarks Collaborate on the development of testing methodologies for protective device evaluation
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model accuracy against experimental benchmarks Collaborate on the development of testing methodologies for protective device evaluation Machine Learning Integration Develop and implement machine learning
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involve established software tools, such as: CHEMKIN-PRO for steady one-dimensional simulations of laminar flames with detailed chemistry. CONVERGE for unsteady three-dimensional simulations of turbulent
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PhD students in the Automation group, with the primary goal of qualifying for a future academic career. Contribute to research projects within discrete-event systems, supervisory control theory, and
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group. Main responsibilities Conduct research in collaboration with senior researchers and PhD students in the Automation group, with the primary goal of qualifying for a future academic career
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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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your own research in a research group. The position may also include teaching on undergraduate and master's levels as well as supervising master's and/or PhD students to a certain extent. Another
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undergraduate and master's levels as well as supervising master's and/or PhD students to a certain extent. Another important aspect involves collaboration within academia and with society at large. The position
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own research in a research group. The position may also include teaching on undergraduate and master's levels as well as supervising master's and/or PhD students to a certain extent. Another important
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to work on topics at the intersection of applied probability and analysis. The group around Pierre Nyquist currently consists of three PhD students and is focused on questions in probability theory and