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ICs. Development cycle including circuit design, simulation, modeling, layout, verification and measurements Design high power-efficiency RF power amplifiers Develop scripts and algorithms for analog IC
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modeling, computational complexity, or algorithm analysis. We are especially interested in candidates experienced in teaching with computational tools who can work alongside current faculty to incorporate
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work with our team to conduct research on the development of image analysis algorithms and AI methods for hardware security evaluation. The roles of this position include: Study literatures on multi
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Processing and Machine Learning to develop signal processing and machine learning algorithms and methods for drone swarms. The role will focus on visual localization techniques. Key Responsibilities: Develop
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. The candidate will work on wind turbine and wind farm control, developing innovative control algorithms and validating them through wind tunnel testing. The candidate will also be responsible for teaching
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for the physical sciences. We have a strong profile in computational statistics, simulation and learning algorithms, and scientific software development. As a closely collaborating, international team
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learn to develop algorithms to solve engineering problems, and the implementation of those algorithms in the C language. This course will include using C program for embedded devices for interacting with
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demonstrated ability to apply these techniques in the biomedical or health informatics domain. Strong algorithm development and programming skills are required, along with excellent teamwork and communication
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cooling one and validation against the experimental data collected in the Thermal laboratory; (ii) Use of the validated simulation model for implementing a suitable control algorithm for ejector-equipped
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algorithms from concept to implementation; and performing systems integration and testing for technology maturation. Minimum Qualifications: 1. Ph.D. in relevant technical field 2. 6 years experience in