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predictive data-driven models describing the catalytic activity and stereoinduction capabilities of ligand mixtures, allowing for their efficient experimental optimization. The goal of this project is to: 1
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PhD candidate and contribute to research on how brands connect with consumers in the digital age. Your research will focus on how companies design and optimize marketing communications across different
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conditions pose challenges to ensuring the safe quality of AM parts and affect their strength and consistency. The main objective of this PhD position is to address these issues by developing an advanced
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) build data-driven predictive models for catalyst activities and selectivities; 3) implement closed-loop ligand optimization for reactivity and stereoselectivity. This position will be part of the Marie
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for 2-3 PhD students interested in using real-world data to inform the pricing, reimbursement, and optimal use of healthcare technologies. This unique opportunity allows for cutting-edge research in
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the Netherlands and who has made an outstanding contribution to the humanities or social sciences. The researcher must have obtained their PhD no more than 15 years prior to the year of their nomination and have an
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Organisation Job description A fully funded PhD position in the broad field of systems and control is available at the University of Groningen, the Netherlands. The specific subject of the project