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The Department of Physics at Chalmers University of Technology invites applications for a postdoc position targeting machine learning in optics. In this position, you will become part of a
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To fully benefit from automated vehicles (AVs), they must be both safe and appreciated by drivers. This post-doc is to use modeling (e.g., AI/machine learning) and behavior data to predict perceived
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the Master’s programmes in Biomedical Engineering, Systems, Control and Mechatronics, Communication Engineering, and Electrical Power Engineering. Learn more: www.chalmers.se/en/departments/e2 Main
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Python and MATLAB Documented experience with analysis of complex scientific data e.g. through machine learning What you will do execute experimental tasks, such as planning of experiments alone or together
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Be part of the DARE (Digital Autonomy with RISC-V in Europe - https://dare-riscv.eu/home ) project developing novel high-performance computing and AI technologies. Learn more about cutting-edge
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postdocs. Research areas include wireless communication, optical communication, coding theory, information theory, and machine learning. We value diversity and believe that a mix of backgrounds and
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Are you passionate about advancing the safety and reliability of learning-enabled systems? Join the Group for Safe and Trustworthy Autonomous Reasoning (STAR) to lead cutting-edge research in
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groups working towards a common goal. For this postdoc project, we seek a dynamic and motivated candidate with an interest in computational electromagnetism, inverse design, and/or machine learning in
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. Project overview The project involves applying advanced statistical analysis, machine learning techniques, and modeling approaches such as agent-based modeling to analyze diverse climate and socioeconomic
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passive and active flow control algorithms, potentially incorporating machine learning/AI, to enhance aerodynamic performance and stall delay with rapid response times. The research is conducted in