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Field
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with spatial resolutions approaching tens of nanometers. However, current reconstructions are slow, expert-driven, and difficult to scale, preventing real-time experimental decision-making and broader
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applications. Develop interpretable and physics-informed AI approaches to extract chemical and physical insights from computational and experimental data. Assist in manuscript preparation, conference
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to work effectively in experimental and rapidly evolving research environments. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/413182/research-fellow-eng… Requirements
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, including aspects of buoyancy, stability, hydrodynamic loads, and behavior in the marine environment; Ability to work in a multidisciplinary team; Ability to analyze and process experimental data; Good oral
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evolutionary biology and genetics. Routine responsibilities will include conducting animal-based and genomic experiments, developing and implementing experimental and computational analysis pipelines, performing
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knowledge for a better world. You can find more information about working at NTNU and the application process here . About the position Fundamental research in the cross section between computer science
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Area: Wireless Communications Group: Mobile Systems - Av Work Objectives: Designing, implementing and experimentally evaluating a lightweight credential gateway that allows constrained IoT devices to use
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, physical AI, and spatial AI. The RF will contribute to the development of innovative algorithms, data preparation pipelines, and experimental evaluations that are central to the Physical Vision Group’s long
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Physics » Other Engineering » Materials engineering Chemistry » Other Other Researcher Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 25 Sep 2026 - 23:59 (Europe/Lisbon
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14 Jul 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Agricultural sciences Biological sciences Engineering Physics Researcher Profile Recognised