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Number: 6792945 ML Performance Engineer, Knowledge Graphs About the Opportunity This job description is intended to describe the general nature and level of work being performed by people assigned
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of funding. The ML Engineer will work on projects that will include developing knowledge graphs based on natural language processing and LLMs. Participation in these projects will include scientific
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. This position has a three-year appointment, renewable yearly subject to availability of funding. The ML Engineer will work on projects that will include developing knowledge graphs based on natural
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mechanical metamaterials. Furthermore, our group values collaboration and interdisciplinary research. As such, you will have ample opportunities to work with other experimental and theory groups not only in
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research on the interface of high energy theory, general relativity and mathematical physics, focusing on celestial holography and related topics, including conformal field theory, AdS/CFT, amplitudes and
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energy theory, general relativity and mathematical physics, focusing on celestial holography and related topics, including conformal field theory, AdS/CFT, amplitudes and symmetries of asymptotically flat
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Politics, American Politics, Political Theory, or Public Policy. Start dates in January, May, July and September. Stipend rates per course. Both traditional, on-ground teaching and online instruction will be
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interdisciplinary research group that develops tools, theory, and models for complex systems. We use these tools to document—and fight against—emergent or systemic disparities across society, especially as they
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PL 02-093, Poland [map ] Subject Area: High-Energy Theory / quantum gravity Appl Deadline: 2025/12/12 11:59PM (posted 2025/09/17, listed until 2026/03/17) Position Description: Apply Position
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of statistical physics, information theory, and computational modeling. RESPONSIBILITIES The Postdoctoral Research Associate will perform basic or applied research of a limited scope, primarily using existing