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), regulatory science, pharmacometrics, and real-world evidence (RWE). The successful candidate will develop AI-driven systems to support regulatory document intelligence, automated pharmacokinetic modeling, and
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3 Mar 2026 Job Information Organisation/Company Gisèle Krysztofiak Research Field Chemistry Technology Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher
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UPOs PhD enrolment: Université Paris Cité DC15: Hybrid machine learning models for data-driven bioprocess optimisation PhD enrolment: University of Padua Eligibility Requirements: Doctoral Candidates
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control schemes, embedded-model control, data-driven approaches and robust controller synthesis; Implementation of the selected control methodologies in the high-fidelity end-to-end DFAOCS simulator; Model
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" initiatives, this field integrates automation, robotics, advanced manufacturing, integrated circuit technology, industrial engineering, complex systems modeling and optimization, and project management. It is
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economic and digital transition. This research will investigate how AI can unlock new business models, accelerate SME transformation, and create high-value, export-ready enterprises driven by AI (AIDEs
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of Time • Conduct experimental research, including characterizing mechanisms of plastic and e-waste degradation, genetic modification and engineering of model and non-model microorganisms, designing
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research on data-driven methods for time-series tipping point prediction and their mathematical foundations, based on their expertise in fields such as mathematical sciences and mathematical engineering
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found in the University's Administrative Guide, http://adminguide.stanford.edu . Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first-ever
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Please apply here: https://apply.workable.com/ellison-institute-of-technology/j/91F1A5719B/apply/ Led by a world-class faculty of scientists, technologists, policy makers, economists and