23 community-detection-cluster-phd Postdoctoral positions at Chalmers University of Technology
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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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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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. 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
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track record of industrial and academic collaboration globally and has published a large number of papers on 2D materials in Nature Communications, Advanced Materials, Advanced Functional Materials
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: The successful candidate should have a PhD in physics or a closely related area. Ideally the candidate should have experience with cryogenic measurements of superconducting circuits, including microwave
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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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simulation work Interest in interdisciplinary collaboration and effective communication skills Motivation, curiosity, and a strong desire to further develop research, communication, and project management
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solutions with real-world impact. Major responsibilities Conduct independent research and collaborate with others in the research group. Supervise Master's and/or PhD students (no teaching included