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overtime for both new and existing technologies and likely challenging the dominant assumption that once a technology becomes competitive in the market policy support can taper off. About us The postdoctoral
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assessing and interpreting uncertainty in deep learning models. As a person, you are curious, self-driven, and enjoy working collaboratively in multidisciplinary research environments. Awareness of diversity
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University of Technology , where you will develop explainable AI models for personalized treatment planning in sports medicine and orthopaedics. You will work in a highly interdisciplinary environment
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automation systems that support flexible and distributed manufacturing. -Develop semantic models and integrate model-driven engineering approaches to support reconfigurable system architectures. -Implement and
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of policy-driven technologies. The position will focus on developing new methods to measure and model technological deployment and to identify the role of policies in accelerating and/or re-accelerating
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of Life Sciences , Chalmers University of Technology. The project focuses on developing AI-driven decision support systems for anterior cruciate ligament (ACL) and other knee-related injuries. You will
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for self-deployable 6G networks in the edge continuum (EC-DEPLOY-6G) pioneers the use of large language model–driven agents to autonomously configure and deploy 6G and cloud functions. The project leverages
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Are you passionate about pushing the boundaries of medical research? Join us at Chalmers University of Technology to explore how advanced models can transform the way we study treatments. We
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focuses on combining novel genome engineering tools (e.g., CRISPR-based) and computational algorithms to enable regenerative cell therapies. Now, we are seeking a highly driven postdoctoral researcher
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language model–driven agents to autonomously configure and deploy 6G and cloud functions. The project leverages digital twin environments and validation frameworks to ensure reliable, secure, and