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and familiarity with radar signal-processing algorithms. Key responsibilities include contributing to radar hardware architecture, system integration, and the construction of experimental sensing
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controlled environments, with a focus on production under higher temperature and humidity. The Research Associate will also build self-learning models using continuous sensor data, calibrate and validate them
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publication records will be preferred. Experience in matlab, MEEP, RCWA and other softwares and algorithms. Excellent publication track records. Good understanding of nonlinear and quantum optics. Strong
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electronics/electrical engineers, you will be part of an exciting research program to develop next-generation sensor devices and systems for human-machine interactions. Qualifications PhD in Materials Sciences
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. Development cycle including circuit design, simulation, modeling, layout, verification and measurements. Develop scripts and algorithms for analog IC design Prepare research papers/reports/technology
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using Python, R, Java and C/C#/C++, as well as competence in mathematics including probability, statistics and algorithms. Keen interest to support research and academic project work, with demonstrated
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Business Intelligence tools (e.g. Power BI, Tableau or Qlik Sense) Experience in applying machine learning techniques and designing algorithms that are scalable and production-grade. Knowledge of database
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). Understanding of IoT integration, metering protocols (Modbus, MQTT), and DER operations. Knowledge of cryptography, consensus algorithms, and security best practices. Prior experience in energy markets
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and algorithms, formal methods, probability and measure theory. For senior research fellow role, candidates must hold a relevant PhD with significant track record of research excellence and substantial
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, mechatronics, automation, or equivalent. • Knowledge and skills in a majority of the following areas: ROS, Python, Linux, electrical and electronic circuits and motion control boards, sensor and actuators