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PhD positions available for highly motivated early-career researchers to be part of the new MSCA Doctoral Network – SHIELD SHIELD Doctoral Network offers an exciting opportunity for 16 early-career
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of biodegra
Marie Skłodowska-Curie (MSCA) doctoral network led by Prof. Cecilia Persson, Uppsala University. Print4Life – Advanced Research Training for Additive Manufacturing of the Biomaterials and Tissues
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specifically, the computational team will build on our previous work (PMID: 38951512) to establish and train deep neuronal network models on large existing dataset with multi-omic data. Subsequently
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provide a dynamic environment which empowers excellence with state-of-the-art technologies, cutting edge infrastructure, and a global scientific network. Contribute your knowledge, vision, and dedication
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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provide a dynamic environment which empowers excellence with state-of-the-art technologies, cutting edge infrastructure, and a global scientific network. Contribute your knowledge, vision, and dedication
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International French-German training and research network About us The Faculty of Medicine is one of the four founding faculties of the Eberhard Karls University of Tübingen. With its non-clinical facilities as
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outcome is the validation of a method in simulated crime scenes. Funding: Doctoral Network "Natural Traces", Horizon Europe Marie Skłodowska-Curie Actions, European Commission. Secondment: University
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Developmental Biology. Our research focuses on the analysis of neuronal networks in the Drosophila brain, and the Hummel team currently consists of postdocs, pre-docs, master students and administrative
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. This entails: • You conduct research at the interface between Quantum Information and Quantum Many-Body Physics, where the focus of your research will lie on the study of topological order using tensor network