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Are you passionate about learning and development? Do you thrive on innovation and want to make a real impact—both within a team and for clients around the world? We're on the lookout for a dynamic
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Are you passionate about learning and development? Do you thrive on innovation and want to make a real impact—both within a team and for clients around the world? We're on the lookout for a dynamic
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analytics (statistical models, machine learning, uncertainty quantification) to monitor and predict cycling travel conditions from various perspectives (safety, crowding, travel time, comfort, etc
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of Science at UvA. What are you going to do? The aim of the project is to use advanced Machine Learning techniques to predict the anharmonic vibrational spectra of large Polycyclic Aromatic Hydrocarbon (PAH
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across data science, agriculture, food and sustainability domains, both within UM and with external partners. Teach at bachelor’s and master’s level in AI, climate data, machine learning and related topics
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, materials science, electrical engineering or similar; You have a fascination for unconventional device concepts and a strong affinity for materials physics and machine/physical learning; You are
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Technology Enabling Advanced Drone- Facilitated Active Support Tactics for Military and First Responder Operations.” You will be a member of the Human-Robot Collaboration Lab and Learning & Autonomous Control
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, Cascais, Riga, Vilnius, Melsungen, Ciampino, Urla and Rhodes. The PhD project will involve: The use of data analytics (statistical models, machine learning, uncertainty quantification) to monitor and
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includes PhD students and researchers at TU Delft, Wageningen University and Research, and Erasmus University Rotterdam, as well as industrial partners that specialize in machine learning, climate control
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goal is to apply cutting-edge neuro-AI knowledge to various scientific challenges, creating synergy and fostering new collaborations. For example, one project might involve developing machine learning