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, Machine Learning, Data Science, Computer Science, Electrical Engineering, Biomedical Engineering, or a related field. Experience with image analysis, computer programming using Python and R, and machine
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undergraduate students and assist with other research activities as needed. Required Qualifications Ph.D. in Agricultural Engineering, Electrical Engineering, Mechanical Engineering, Computer Science, or a
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. The position is intentionally interdisciplinary. We welcome candidates from control theory, nonlinear dynamical systems, applied mathematics, electrical or biomedical engineering, physics, computational science
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combining geophysical sensing, physical modelling, and artificial intelligence. You will: · design and conduct research using geophysical techniques such as Ground Penetrating Radar (GPR), Electrical
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. Project description Control Engineering and Instrumentation are growing in importance due to the need for high-quality data and information to monitor, make decisions and take correct actions in almost
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at the intersection of digital twins, multi-timescale system optimization, and integrated Power-to-X systems with special focus on the electrical engineering parts. This position offers a unique opportunity to drive
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of neuromuscular electrical stimulation. The position includes support to develop additional research and pursue independent funding within the lab's scope. Responsibilities Lead day-to-day scientific and
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remodels and heals under controlled in vitro conditions. In the first phase, you will validate and implement the BBoC technology. In the translational phase, you will study how a candidate pharmaceutical
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, network analysis, visualization, quality control, and statistical analysis. Perform and analyze electrical neuromodulation experiments, including open-loop and closed-loop stimulation paradigms, to test
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environment. A good command of written and spoken English is essential. Why Join Us? This position offers a unique opportunity to work on an innovative and potentially disruptive energy technology addressing