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Requisition Id 16722 Overview: We are seeking a Postdoctoral Research Associate within the Advanced Machining and Machine Tool Research Group who will focus on developing, evaluating, and
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 13 hours ago
Job Requirements REQUIRED: PhD in a field of quantitative science; strong background in machine learning and signal processing; experience with and commitment to rigorous and reproducible
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increasingly autonomous and agentic models. The research will examine frontier AI systems that interact with operating systems, APIs, software tools, other agents, and complex environments, moving beyond text
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 13 hours ago
performance utilizing a variety of tools including life-cycle assessment (LCA), machine learning techniques, and/or optimization methods. This position will carry out state of the art research into the economic
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particular focus on increasingly autonomous and agentic models. The research will examine frontier AI systems that interact with operating systems, APIs, software tools, other agents, and complex environments
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 12 hours ago
tools, specifically dedicated to the study and reliable triangulation of surfaces that are solutions to equations arising in the design of robust controllers for differential and delay differential
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, the successful candidate will lead the development of a software tool to infer more realistic scenarios of speciation from genomic data. The Postdoctoral Research Scholar will also have the opportunity
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Department of Geosciences and Natural Resource Management and the Department of Computer Sciences at the University of Copenhagen, DHI A/S, and GEUS (The Geological Survey of Denmark and Greenland). The center
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Experience developing software with Python, R, and/or Julia Experience with machine learning and AI algorithms and tooling (e.g. PyTorch) Experience with remote sensing and open-source GIS tools (e.g. Google
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, GIS tools and quantitative/spatial approaches including machine learning to understand how wildlife species are reacting to climate change at continental or global scales. Specific project ideas could