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PostDocs on the development of cutting-edge AI-ready/agentic infrastructure for data and model discovery, model metadata extraction, and scholarly intelligence. The project will explore conceptual frameworks
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At AAU Energy, a position as Postdoc in AI and Deep Learning for Radar-Based Non-Destructive Testing is open for appointment from 01.10.2026 or as soon as possible hereafter. The position is
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16 Jul 2026 Job Information Organisation/Company Institute for bioengineering of Catalonia, IBEC Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Positions Postdoc
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to satisfactory performance and funding availability. The expected start date is July 2026. Level Scope: After earning a Ph.D., the next step in the academic or research career path is often a postdoc
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of neural networks, information-theoretic and optimal-transport perspectives on representation and generalisation, probabilistic numerics and Bayesian deep learning, and emerging frameworks for scientific
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Vacancies PostDoc position on Wafer Bonding Physics for 3D Chip Integration Key takeaways Wafer-to-wafer bonding is a key enabling technology for future 3D chip integration, where chips are stacked
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 15 hours ago
Organization National Energy Technology Laboratory (NETL) Reference Code NETL-Postdoc-2026-Goodman How to Apply A complete application consists of: An application, including academic history, work
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. The PostDoc project is part of the “CoEvolve” research consortium, funded by the European Union through an ERC Synergy Grant. The goal of the project is to better understand and predict the co-evolution
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robotics – reinforcement learning, whole-body model predictive control (MPC), and differentiable optimal control – to simulate human balance and step recovery in urban transport scenarios. The goal is a