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machine learning models in simple, standalone devices that are capable of advanced processing. Building on our work on solution-based neuromorphic classifiers (https://doi.org/10.1002/advs.202207023
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maintenance and reinforcement strategies. The postdoc will lead work on extracting and analyzing pavement condition and traffic data, integrating them with climate and environmental datasets, and developing
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experiments, and machine learning (ML) to understand and predict multiscale transport phenomena in fuel cell systems. In particular, the postdoc will bridge pore-scale simulations and macroscale performance
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physicist in the area of plasma physics and numerical simulation of models for magnetised fluids. About us This position sits right between two research groups at Chalmers: the Plasma Theory group
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accompanying project will closely collaborate with each other as well as with other PhD students and postdocs to create new knowledge and synergies across related research activities. In this project
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impact on scale-up? What policy measures are useful to guide the scale-up? The task is to create a simulation model that illustrates the transition and competition between technologies. The simulation
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simulation model for autonomous shipping in restricted waterways. This position offers unique opportunities for collaboration within the Marine Technology Division at Chalmers University of Technology
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We are looking for a highly motivated and skilled Postdoctoral researcher with cross-disciplinary expertise to help develop a digital twin ship simulation model for autonomous shipping in restricted
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University (Boston, MA, USA), and the Singapore University of Technology and Design (SUTD, Singapore). The postdoc will become part of the TERANET@KTH research lab. The team will also work in close
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, aiming to create automated and AI-assisted microscopy workflows for large-scale human cell imaging and modeling. You will be responsible for developing and optimizing wet-lab and imaging protocols