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. Experience with embedded systems, real-time computing, hardware-software co-design, FPGA development, or hardware-accelerated computing will be considered a strong advantage. Familiarity with efficient
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Are you interested in shaping the future of intelligent and secure computing systems where artificial intelligence meets reliable embedded hardware? We are looking for a motivated PhD candidate, as
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the intersection of artificial intelligence, embedded systems, and sustainable computing? Join the Embedded Systems Engineering (ESE) research section at DTU Compute and become one of the Doctoral
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candidate has an MSc in Computer Science and is interested in theory, development, or usage of formal methods. Fluency in English is required. Hosting environment FORM is embedded in the Section of Artificial
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analysis in software such as R, Stata, Python or similar tools. You are comfortable working with datasets, developing statistical models and documenting your analytical choices. Experience with experimental