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focus on developing CFD codes/modules/tools for the new electrochemical processes in the project, but you will have some latitude to study a variety of scientific topics chosen through mutual agreement
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maritime sectors. We also work on natural language processing, autonomous robots, and applications in health, sports, and environment monitoring. Through our research we aim to develop innovative solutions
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habitual control. It will then test how acute stress alters these processes, combining behavioral performance, physiological monitoring, movement-based phenotyping, and advanced statistical and computational
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waste management pathways. The research will support process optimization and scale-up by assessing different feedstocks, operating conditions, and valorization routes for syngas and recovered materials
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candidate should be able to show research experience in national and/or international projects on process modelling and simulations, including both steady state and dynamic modelling and techno-economic
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AI or machine learning applications. Formal training or professional experience in audio engineering, recording arts, or signal processing. Experience with acoustic software platforms (e.g., Pro Tools
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insights to help optimize device performance. Additionally, you will support collaborators by assisting with in-situ TEM measurements, facilitating cutting-edge research in sustainability and energy fields
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of the hamstrings during push-off can enhance gait after stroke. This position builds on those findings: you will adapt an existing FES shorts system for stroke rehabilitation, test and optimize it with patients
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LiDAR, IMU, camera, and wheel-odometry data in GPS-denied, low-light environments. Implement LiDAR-based or LiDAR-inertial SLAM, factor-graph or pose-graph optimization, loop-closure validation, drift
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system for stroke rehabilitation, test and optimize it with patients, retrain the stimulation-control algorithm for stroke-specific gait, and evaluate usability, comfort, and fit during prolonged use. You