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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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mixtures, allowing for their efficient experimental optimization. The goal of this project is to: 1) develop dedicated representations for catalyst mixtures; 2) apply the developed representations
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optimize renewable energy integration. These solutions contribute to climate change mitigation by reducing emissions and to adaptation by strengthening energy system resilience against growing climate
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the East Atlantic Flyway. The project focuses on creating and connecting optimal breeding and non-breeding areas for species like the Black-tailed Godwit. The project implements meadow bird-friendly measures
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a highly motivated PhD student to join our dynamic
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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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ligand testing workflows for CuH-catalyzed hydrofunctionalizations; 2) build data-driven predictive models for catalyst activities and selectivities; 3) implement closed-loop ligand optimization
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connect with consumers in the digital age. Your research will focus on how companies design and optimize marketing communications across different platforms, particularly through images and videos. You will
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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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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This project aims to develop a regenerative and personalized therapy