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intelligent system operators that guide user behavior toward socially desirable outcomes. By integrating theory with practical applications, the research aims to transform how we navigate cyber-physical systems
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PhD in Intelligent Information & Incentive Design for Cyber-Physical Systems (V24.0341) « Back to the overview Job description A fully funded PhD position is available at the University of Groningen
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scientific challenges. The research programme of the Feringa group focuses on synthetic and physical organic chemistry, inspired by Nature's principles of molecular assembly, recognition, transport, motion
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into the process of star formation in interstellar clouds, in particular the effect of feedback from young stars on their birth environment. Funding is now available for a PhD candidate to analyze the GUSTO data
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collaboration between researchers from different fields to drive innovation and address complex scientific challenges. The research programme of the Feringa group focuses on synthetic and physical organic
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PhD positions: Artificial Design of Phosphoramidites for Asymmetric Catalysis in Water (2 x 1.0 FTE)
the Feringa group focuses on synthetic and physical organic chemistry, inspired by Nature's principles of molecular assembly, recognition, transport, motion, and catalysis. The goal is to create new structures
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possible electrode degradation phenomena. Responsibilities and tasks Synthesis and characterization electrode materials of electrodes and relative interfaces for the ceramic cells. Physical-, chemical- and
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to identify trends in the data. Applicants should have a PhD in physics, materials science, electrical engineering, or a related field. A deep understanding of device physics, numerical modeling, and computer
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influential ranking lists. Qualifications We are looking for a candidate with • A Master’s degree in chemistry or physics, with a specialization in theoretical chemistry/physics or related fields. • A strong
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coverage of the 30 Dor region. The high-resolution GUSTO spectra are expected to provide new insights into the process of star formation in interstellar clouds, in particular the effect of feedback from