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Field
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instrumentation of technical processes and systems, with close connection to applications and applied research. Project description Your work will be embedded into a cutting-edge research project dedicated
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meticulous • Strong proficiency in the use of Microsoft Office Applications • Strong proficiency in the use of statistical software, preferably R or Stata, for statistical analyses • (optional) Strong
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or nVivo, for data management and analysis • Adept at learning new software packages and online digital systems The appointed candidate will report directly to Dr. Ian Ang and be embedded in the wider team
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battery data. Develop scalable, secure, and production-grade software systems supporting industrial deployments. Integrate embedded BMS firmware, edge computing devices, and cloud analytics pipelines
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We offer a fully funded PhD student position within the TruX Research Group headed by Prof. Dr. Tegawendé F. Bissyandé. The position is supported by Google.org and is embedded in a broader research
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students. Job Requirements: A Bachelor’s degree in relevant fields with past experience in embedded system, machine learning and software development. Knowledge in robotic system development is a plus
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embedded into a cutting-edge research project dedicated to the development of advanced AI-based techniques for radiofrequency spectral monitoring across a wide range of highly relevant applications
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human health. Within this mission, the Jug Group develops advanced computational methods and open scientific software to extract knowledge from complex biological imaging data. We work at the intersection
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systems software security. A particular focus of the position is low-level kernel development in embedded systems equipped with a CPU that does not integrate a memory management unit (noMMU scenarios
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activities using quantitative and qualitative methods. Collate, input and organise research data using appropriate data management and analysis software. Assist with literature searches and reviews to support