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“CauseFinder: Causality in the Era of Big Data and AI and its applications to innovation management”, having Prof. Dr. Dumitru Roman as principal investigator. The ideal candidate profile consists of advanced
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“CauseFinder: Causality in the Era of Big Data and AI and its applications to innovation management”, having Prof. Dr. Dumitru Roman as principal investigator. The ideal candidate profile consists of advanced
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) speaks to these challenges. Built around a methodological core, we craft novel machine learning (ML) and artificial intelligence (AI) instruments for pattern extraction, explanation, and forecasting
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novel machine learning (ML) and artificial intelligence (AI) instruments for pattern extraction, explanation, and forecasting of the high-dimensional, non-stationary, temporal data encountered in energy
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considered an advantage if candidates demonstrate that they have publications in non-Gaussian stochastic modeling in mathematical finance, in journals relevant to the scientific community, Innovation Capacity
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community, Innovation Capacity: • An innovative attitude and creative thinking to develop new methods and tools. Research Ethics: • Deep understanding of ethical principles in research and commitment
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that they have publications in stochastic modeling with applications of stochastic processes in finance, in journals relevant to the scientific community, Innovation Capacity: • An innovative attitude and creative
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journals relevant to the scientific community, Innovation Capacity: • An innovative attitude and creative thinking to develop new methods and tools. Research Ethics: • Deep understanding of ethical
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community, Innovation Capacity: • An innovative attitude and creative thinking to develop new methods and tools. Research Ethics: • Deep understanding of ethical principles in research and commitment
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advantageous if candidates demonstrate publications in non-Gaussian stochastic modeling in journals relevant to the scientific community. Innovation Capacity: • An innovative attitude and creative thinking