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Excellent knowledge of French Law, particularly French Tort Law Additional knowledge of a Latin American legal system desirable Experience in comparative legal research (desirable) Excellent knowledge
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to be a growing field, and there is substantial room to contribute. We are interested in developing techniques that can improve on current AI performance, model human cognition, and in using neurosymbolic
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… Requirements Research FieldEconomicsEducation LevelPhD or equivalent Skills/Qualifications Solid knowledge of statistics and data analysis, marketing, strategy, consumer behavior, market research, modeling
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FieldEconomicsEducation LevelPhD or equivalent Skills/Qualifications Solid knowledge of statistics and data analysis, marketing, strategy, consumer behavior, market research, modeling of economic phenomena, probabilistic
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given to candidates with suitable scientific and professional curriculum such as: Experience with Large Language Models (LLMs) Experience conducting empirical evaluations Knowledge of software security
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potential in preclinical experimental models. Requirements: Applicants must have obtained their PhD within the last five years and have experience in the study of non-conventional lymphocyte populations, as
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%). You will work at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model
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models of the process. Finally, this PhD research will contribute to advancing knowledge in the repair of high-value components and the reuse of mechanical systems. More broadly, it will support the
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Job Purpose To make a leading contribution to “Numerical Modelling of Superconducting Cables” working with “Propulsion, Electrification & Superconductivity” group in the research disciplines
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on the development of mathematical and computational models of biological systems. This position is supported by an NIH Virtual Consortium for Translational/Transdisciplinary Environmental Research (ViCTER) grant, “In