21 community-detection-cluster-phd Postdoctoral research jobs at Chalmers University of Technology
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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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of Microtechnology and Nanoscience . Become part of our innovative group and contribute to exciting research within a collaborative and dynamic environment. About the research project Future communication and defense
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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 is meritorious
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theory, and/or formal verification of automation systems. The PhD should have been awarded no more than three years prior to the application deadline.* Strong written and verbal communication skills in
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scientific research publications. Your profile Required qualifications PhD in Chemistry, Chemical Engineering, Physics, Catalysis, Materials Science or equivalent (awarded no more than three years prior
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reporting current research results in both written and oral form as well as authoring scientific research publications. Your profile Required qualifications PhD in Chemistry, Chemical Engineering, Physics
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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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with the project’s Principal Investigator, and practical implementation of this research with the AIMLeNS team. The role also offers ample opportunities to mentor PhD students, supervise MSc projects
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We are seeking a highly motivated and skilled Postdoctoral researcher with interdisciplinary expertise to develop risk assessment and mitigation models using Large Language Models (LLMs