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experience in managing and analysing large and complex datasets; expertise in Computational Social Science and proficiency in longitudinal analyses, multilevel modelling, data visualisation, and state
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molecular biology, and in-depth experience as demonstrated by a relevant strong track record. Research experience in molecular cancer biology is required and experience with different animal models will be
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accounting or finance datasets or have a proven record in utilizing API’s and deploying models from GitHub. The ideal candidate should also have a keen interest in pursing a PhD in Accounting or Finance in
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background in quantitative data analysis, mathematical modelling, and experience in methodologic development and implementation; (d) be able to demonstrate a high level of creative ability in research in
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. Participate in the development of theories, resolve theoretical puzzles, and perform numerical simulations. Key Requirements: Hold a Bachelor's degree with outstanding performance in Physics or related fields
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agentic AI (e.g., large language models, algorithmic systems) shape users’ psychological and behavioral well-being, particularly among vulnerable populations. Applicants are encouraged to approach
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quantitative data analysis, mathematical modeling, and experience in methodologic development and implementation; (d) be able to demonstrate a high level of creative ability in research in some subdivisions
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for a Research Assistant Professor position. We seek candidates whose research examines how increasingly agentic AI (e.g., large language models, algorithmic systems) shape users’ psychological and
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research teams to develop the necessary experimental platforms, modelling and data analysis capabilities. Research Assistant Professor (25260446) Responsibilities: The Department is recruiting one scholar
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research teams to develop the necessary experimental platforms, modelling and data analysis capabilities. Research Assistant Professor (25260475) Responsibilities: The Department is recruiting a scholar at