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Field
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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
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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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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in academic activities since he will be involved in research development and coordination and will participate in the supervision of BSc, MSc, and PhD students. These tasks will provide additional
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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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and Experimentation: Proficiency with modern ML frameworks (e.g., PyTorch), simulation environments, and reproducible experimentation pipelines for autonomous driving or robotics Your profile PhD in
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computational physics, computational materials, and machine learning and artificial intelligence, using the DOE’s leadership class computing facilities. This position will utilize methods such as finite elements
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for Artificial Intelligence, and the Digital Futures Institute. The PDRA will also have access to research and career development from King’s Centre for Research Staff Development. The postholder will work closely
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investigating how artificial intelligence is reshaping cultural production, circulation, and valuation at scale. Possible areas of focus include transformations in creative labor, audience experience, and