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decision process for sustainable transport modes and transport innovations. Research is interdisciplinary involving behavioral economics, psychology, neuroscience, computer science applied to the transport
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Department at #2 nationally in the Electrical and Electronic Engineering category. Required Qualifications • PhD degree in Electrical Engineering, Computer Engineering, or other related disciplines. PhD must
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including grade 7. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD awarded in Psychology or Health or Social
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- Conference travel support - 1-year contract, renewable (up to 3 years total) - Cloud compute provided by Nebius Requirements: - PhD in Mathematics or Computer Science - For existing projects: willingness
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5 Sep 2025 Job Information Organisation/Company Tilburg University Research Field Computer science » Programming Engineering » Simulation engineering Psychological sciences » Cognitive science
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at prominent conferences. We offer unique opportunities for cross-disciplinary collaborations, organization of scientific workshops, and attendance at conferences. Key qualifications include a PhD in a relevant
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successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in developmental cognitive computational science, neuroscience, computer science
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FieldMathematicsYears of Research Experience1 - 4 Research FieldHistory » History of scienceYears of Research Experience1 - 4 Additional Information Eligibility criteria - PhD in computer science or applied mathematics
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), and the Massive Data Institute (MDI). The postdoctoral fellow will be housed at both CS and MDI. Applicants should have a PhD in computer science with an emphasis on AI systems, vulnerabilities
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strategies. The candidate will join the Machine Intelligence Group for the Betterment of Health and the Environment (MIGHTE) led by Prof. Mauricio Santillana. MINIMUM QUALIFICATIONS PhD in a quantitative field