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Field
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this cross-functional role, the postdoctoral fellow will develop AI-driven methodologies to bridge the gap between genomic evidence and safety outcomes, addressing a critical challenge in pharmaceutical
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academic model, with the ambition of positioning Africa-driven research at the global forefront and establishing itself as a university of international standing. Beyond the traditional role of a university
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disease prognosis. This position offers a unique opportunity to work at the forefront of optical imaging technology, combining experimental optics with advanced computational and data-driven methods. Roles
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disinfection engineering, aerosol science, surface science, and data-driven modeling to address HPAI transmission via air, water, and surfaces. The successful applicant will be expected to play a central
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modelling. You will be self-motivated with a proven track record on molecular and microstructural analysis, waste valorisation with stabilisation, degradation kinetics & durability and engineering knowledge
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program focuses on AI-driven analysis of multimodal neural data, in close collaboration with leading experimental neuroscience groups at UBC and internationally. Project Recent advances in neuroscience have
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mathematical and computational engine of Artificial Intelligence (AI), and therefore a fundamental force of technological progress in our increasingly digital, data- and algorithm-driven world. Integreat
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11 Mar 2026 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Application
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
programming skills Desired qualifications: Experience in statistical physics, solid mechanics, or fluid mechanics Experience with data-driven modeling, parameter estimation, or model calibration Familiarity