20 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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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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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
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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