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fundamental design principles for next-generation sustainable catalytic systems. The outcomes will contribute to developing green synthetic methodologies that replace rare-metal catalysts, enhance reaction
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on hydrometallurgy for resource-efficient processes. Hydrometallurgy is a set of chemical engineering methods in which materials or waste streams – from mining waste to electronic waste – are processed to make
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Chemistry (experimental/computational physical chemistry) -Transition metal photocatalysts studied by femtosecond X-ray science with a focus on hybrid experimental/machine-learned structural dynamic analyses
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working with machine learning methods with the support of
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treatment method. We conduct research across a broad range of areas, including trauma, degenerative disease, pediatric orthopedics, and hand surgery. Depending on the research question, we employ a wide
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control and reinforcement learning supported by an edge-cloud-based wireless communication environment. The doctoral student will work on data-driven theory and method development in simulation environments
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested developing new machine learning methods for precision medicine and
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in developing new machine learning methods for multimodal data and
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to improve targeting of ON-based drugs to B cells using protein-based targeting methods coupled with studies related to endosomal escape properties of the ON after internalization. We will employ the novel
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will contribute to the development and evaluation of methods for bioprinting hydrogels (also referred to as bioinks) that support the development of better 3D in vitro models with such tissue-specific