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Field
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-quality research results in top-tier venues spanning machine learning, reinforcement learning, embodied AI, and AI in education (e.g., NeurIPS, ICML, ICLR, ACL, CoRL, IEEE ICRA/IROS, AIED, EAAAI
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processing, machine learning, computational imaging, and clinical translation. Beyond your individual research contributions, you will serve as a technical coach for the PhD researchers, helping to align
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conduct world-class applied research. We change and make a difference. Do you want to become one of us? This postdoctoral position is part of the newly funded KKS Synergy project WorkFlex+ which focuses
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 2 months ago
position focused on advancing crop production and physiology through field experimentation, computation (statistics and machine learning), and process-based models. The successful candidate will have an
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cardiovascular care. Within the consortium, TU Delft contributes expertise in cardiac mechanics, soft tissue modeling, growth and remodeling, machine learning, and uncertainty-aware model personalization. As a
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Postdoctoral Researcher (m/f/d) in the field of Polymer Science or comparable Berlin Division 7.5: Technical Properties of Polymeric Materials Science / Research Full-time / suitable as part-time
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
Engineering, Systems Engineering, Data Science, or a closely related field Experience with artificial intelligence, machine learning, physics-informed neural networks, or reduced-order modeling (ROM
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of Nevada, Reno invites applications for a Postdoctoral Scholar position specializing in Chemical Biology to work in the Laboratory of Dr. Yftah Tal-Gan, Professor of Chemistry. The interdisciplinary project
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of quantum walk algorithms, variational quantum algorithms and their optimization, adiabatic quantum computation, and quantum machine learning. Theoretical and applied research into the capabilities of quantum
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, permeability, and cytochrome P450 interactions would be advantageous; ▪ Knowledge and/or openness to learn of computer-aided drug design methods, in particular molecular docking, pharmacophore modelling, or in