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“HORIA HULUBEI” National Institute for Research and Development in Physics and Nuclear Engineering | Romania | 5 days ago
) announces a vacancy notice for an Doctoral research assistant position within the Project PCE 65 - „Magnetic resonance methods for new observation timescales in the detection of radiation dose-rate response
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theorem provers such as Coq or Isabelle/HOL. Proof Automation. We plan to develop formal methods for automatic reasoning that can be materialized into commercial tools. Responsibilities Participate in and
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practices, and applicable procedures, methods, technologies, ethics, standards, and requirements within the area of expertise. Proven ability to teach effectively within the area of expertise. Expertise in
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methods. In the latter case, estimates and causal inferences will be made, and natural experiments will be analysed using econometric techniques. The project also includes dissemination activities and the
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
Proposed Start Date 03/16/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service
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will join a dynamic, interdisciplinary team focusedon developing and applying novel AI and statistical methods for multi-omics data analysis. This position offers a unique opportunity to work at the
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), (c) estimation methods for latent variable models (e.g., two-step approaches or approximate maximum likelihood estimation), or (d) meta-analytic models to address complex data structures (e.g., spatial
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analysis focuses on the development of high-order accurate, provably stable methods that produce reliable approximate solutions to difficult nonlinear problems. These discretisation techniques include, but
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of computer and relevant programs (Microsoft Word, Excel, PowerPoint, etc.). Communication and organization skills. Experience with flow cytometry, ELISA, proteomics, or other related molecular methods
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, you will develop innovative small area estimation methods to produce high-quality composite SDG indicators, combining survey, census, and non-traditional data sources such as web and satellite data