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modeling, machine learning, and experimental studies, while offering the opportunity to contribute to open-source libraries and collaborate directly with an innovative startup partner. You will be
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integration. Lead and contribute to research involving AI-powered and AI-enabled robotic systems, including deep reinforcement learning, computer vision, and human-robot interaction. Facilitate strategic
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climate scientists and artificial intelligence experts to generate new projections of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine
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: Durham, North Carolina 27708, United States of America [map ] Subject Area: Engineering / Electrical and Computer Engineering Appl Deadline: (posted 2025/08/04, listed until 2025/08/15) Position
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. CADIA provides a collaborative environment where researchers tackle challenging problems in AI, machine learning, and human-computer interaction. The center offers regular seminars, visiting researcher
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develop independent research activities on the air pollution modelling. Candidate Profile: The Center is looking for a Post-doc to work at the interface between Air Quality modeling and machine learning
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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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diagnosis. These tools will leverage various spectroscopic techniques (VNIR, SWIR, and XRF) combined with machine learning and chemometrics. Key Responsibilities: The Postdoctoral Researcher is primarily
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, LHC , Machine Learning , Neutrino , Neutrino physics and Astrophysics , Phenomenology , Quantum Field Theory , Theoretical Particle Physics , theory , Lattice QCD Appl Deadline: 2025/12/01 11:59PM
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or related areas with research experience on self-adaptation techniques to enhance the efficiency of machine learning based systems. More in detail, a key requirement for eligibility is provable