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Are you interested in exploring how multi-agent aerial manipulation can contribute to construction and working at the intersection of robotics and machine learning? Job description Advancements in
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visit our webpages: About Quantum Circuits, Architecture, and Technology (QCAT) section About Quantum and Computer Engineering (QCE) department Job requirements You hold an MSc degree in Electrical
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of the project thereby complementing the human data analyses performed in Maastricht. Post-translationally modified proteins (PTMs) and their antibodies have been long-implicated in the etiology of auto-immune
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, sensors and instrumentation. Knowledge of one or more of the following areas:Power electronics, Reliability and failure mechanisms, Sensors and instrumentation, Data analytics, machine learning, or AI
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Interaction, Computer Science, or a related field. Proven experience with, or a strong interest in, sensor-based system development, biosensing technologies, physiological measurement, and data collection
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different configurations, which include direct inductive heating (using a dedicated coil) and impedance heating using auto-inductive effects in different reactor geometries, will be evaluated by your CFD-FEM
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allow for more distributed and variable generation. Job requirements Essentials: Basic knowledge of power systems and machine learning/AI. Completed an MSc degree in a highly technical related discipline
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Campus, in the middle of the largest chemical site of the Netherlands. As such, we are very well connected to industry. More information you can find on https://www.maastrichtuniversity.nl/research
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practical machine learning/artificial intelligence courses and relevant project and thesis experience. You have a keen interest in AI alignment, human-AI interaction, and explainable AI, and enjoy
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students. Together, we create knowledge, innovations, and solutions that help move the world forward. Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution