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description: The selected candidate will be involved in research activity, including synthesis of corannulenes and nanographenes. Job requirements: The candidate must be higher education graduate, with a master
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description of DIGITAL and the Ph.D. positions, please check https://www.digital-finance-msca.com/ . DIGITAL's main goal? To significantly advance the methodologies and business models for Digital Finance
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interviews Contributes to behavioral data collection Contributes to primary data analysis Contributes to the dissemination of the research results Requirements Research FieldPsychological sciencesEducation
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/31.07.2023 Contributes to participant recruitment Conducts clinical interviews Contributes to behavioral data collection Contributes to primary data analysis Contributes to the dissemination of the research
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candidate must be higher education graduate, with a master degree in Chemistry and can be enrolled as PhD student, having experience in organic synthesis, including: • experience in working a wet-chemistry
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for enrolling in a research program; • Copies of educational studies (baccalaureate diploma, diploma of bachelor degree-including transcripts, diploma of master degree - including transcripts); • Certificate
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. Specific conditions: Long-term higher education completed with a bachelor's / master's degree; Candidates must be enrolled in a doctoral program at the time of submitting the competition file, in the field
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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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complex market dynamics . Assets, principal investigator Prof. Dr. Ciprian Andrei Tudor. The position is limited until 30/06/2026. Applicants with a solid practical experience in statistics and stochastic