28 community-detection-cluster-phd Postdoctoral positions at Chalmers University of Technology in Sweden
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facilities that are highly aligned with the goals of the project. Who we are looking for We seek candidates with the following qualifications: To qualify for the position of postdoc, you must have a PhD degree
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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
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and support PhD students working on related projects. Develop and communicate scientific findings effectively in English, both orally and in writing. Qualifications PhD in Electrical Engineering
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and written communication skills in English. Swedish is not a requirement but Chalmers offers Swedish courses. You are expected to be somewhat accustomed to teaching, and to demonstrate good potential
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Group within the Quantum Technology Laboratory (QTL) at the Microtechnology and Nanoscience (MC2) department, working in a large team of PhDs, postdocs and researchers. About the research We are seeking
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effectively communicate scientific results both orally and in writing. You will also mentor and support PhD/master’s students working on related projects. Another important aspect involves collaboration within
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. Supervise MSc and PhD students (co-supervision). Contribute to writing research proposals in the field. Qualifications To qualify for the position of postdoc, you must have a PhD degree in automatic control
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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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. PhD in a relevant field (e.g., logistics, supply chain management, operations management, engineering, or related disciplines). Experience with case study methodology and the ability to translate
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The position's field of research focuses on developing and implementing safe, transparent, and explainable AI systems using multimodal deep learning and Large Language Models (LLMs) for healthcare