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available sensor and meter infrastructure, affordable computational resources, and advanced modeling algorithms. MPCs excel in handling constrained optimizations and new operational conditions, whereas RLs
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evaluate BCI algorithms for decoding motor intentions Integrate BCI systems with KAIST’s advanced exoskeletons Conduct experiments with healthy subjects and stroke patients Collaborate closely with a KAIST
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data Design algorithms for correlating low-level events into process-level attack models Contribute to joint framework development with TU/e on continual learning Collaborate with industry partners
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investigates the ecological and evolutionary processes that dictate the distribution, adaptation and impacts of weeds in agroecosystems. Our basic research uses weeds as excellent models for studying rapid plant
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research in innovative algorithms for the analysis and interpretation of medical image data to support computer-aided disease diagnostics and intervention planning. have an established track record
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the ERC Consolidator project “The Role of Workers’ and Employers’ Bargaining Power in Distributional Workplace Accounts.” This project is led by Professor Tali Kristal at Haifa University and the co-PI
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will take advanced courses to build and deepen your skills, implement and evaluate algorithms, and develop your ability to write and present scientific work. We are a supportive team that will welcome
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these frameworks to develop specific formulations and solution algorithms for the design of congestion pricing schemes using classical transport models and quantify the equity-efficiency trade-offs for congestion
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-Machine Interfacing for Semi-Autonomous Robotic Prostheses This project will develop novel AI algorithms to decode human intention from electrophysiological signals (e.g., EMG) for intuitive control
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Two Senior Innovation Coaches (specialkonsulent) for Early-stage Medical Technology Innovation Teams
people distributes across offices in Aarhus and Copenhagen who work together to pull off the intensive 10-months fellowship programme from both an administrative, practical and subject matter perspective