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and research efforts by participating in activities and conducting experiments related to plant genetics, pathology, entomology, physiology, genomics, statistics, and Artificial Intelligence. Work will
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position of a postdoctoral candidate in the scientific field of technical sciences, field of computing for a fixed term to work on the project "Generative Artificial Intelligence in Legal Translation". Where
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University of Vienna Centre for Translation Studies (ZTW) is looking for a German and English-speaking post-doc candidate to join the HAITrans (Human and Artificial Intelligence in Translation) research group
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
the Finnish Center for Artificial Intelligence (https://fcai.fi/) . Join us! To apply, please share your application with us through our recruitment site ("Apply now!”) latest by 23:59 pm (EET) 19
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: Health, Medical Science & Generative Biology, Food Security & Sustainable Agriculture, Climate Change & Managing Atmospheric CO2 and Artificial Intelligence & Robotics. Set for completion in 2027, the EIT
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quantities that enter ab-initio QT simulations of nanoelectronic devices. In this context, we are seeking a post-doctoral fellow who will be part of a team that also comprises two PhD students and will closely
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
between nonlinear control theory and machine learning to provide formal guarantees on performance, safety, and robustness of complex systems. We are a part of the Finnish Center for Artificial Intelligence
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diverse data sources, including field-collected biological samples, on-farm sensor data, artificial intelligence–derived outputs, and video-based analytics, to support disease surveillance and control. Lead
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will use our Campus Values to guide their decisions and actions and demonstrate our Rebel spirit. PREFERRED QUALIFICATIONS Experience applying machine learning (ML) or artificial intelligence (AI
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of Artificial Intelligence and Robotics at NYU Abu Dhabi the group of Prof. Kostas J. Kyriakopoulos seeks to improve the autonomy of Field Robotic systems by fusing control theoretic and machine intelligence