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closely related discipline). You have a strong interest in AI/machine learning, data mining, regression analysis, responsible AI, causal inference, and programming (R/Python, SQL). Moreover, you are driven
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, for applications such as quantum-secure and post-quantum cryptography, and leakage- and tamper-resilient cryptography. It is supervised by Asst. Prof. Mustafa Khairallah. The research is expected to include a
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
Posting Description PREDOCTORAL RESEARCHER, Economics (5 positions), to join the research team of Professor Amy Finkelstein. Responsibilities include working with data sets, cleaning and running
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, operational, maintenance, incident and cost data Develop and validate statistical, causal and/or machine-learning methods and turn the results into useful decision support Publish and communicate results and
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- Prof. Doctor José Alferes, Dean Where to apply E-mail [email protected] Requirements Research FieldEngineering » Chemical engineeringEducation LevelPhD or equivalent Internal
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | about 1 month ago
1 Sep 2026 Job Information Organisation/Company The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences Research Field Biological sciences » Biology Researcher
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acquire the doctoral education. Good English communication, including an ability to clearly disseminate research findings orally and in writing, are essential. Additional qualifications Selection will be
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fields of study: Computer Science, Information and Computer Engineering, Software Engineering and Management, Mathematics, or equivalent disciplines Excellent programming skills Extensive knowledge of IT
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Admission Requirements Completed Master's degree or equivalent Diploma degree Preferred fields of study: Computer Science, Information and Computer Engineering, Software Engineering and Management
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environments where terrain can change abruptly. However, formally certifying these opaque learning-based components demands impractical resources, presenting critical safety assurance challenges and delaying