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screening pipeline, from stem-cell engineering to data analysis Develop and test improvements in single-cell methods and vector design Apply the technology in steady-state and disease settings Analyse
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the structure of real prospection activities by integrating multiple, heterogeneous geospatial and archaeological data layers. Within this environment, we will design and evaluate new reinforcement learning
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researcher to develop next-generation methodologies for control design and dynamic stability assessment of converter-dominated AC, DC and hybrid AC/DC systems. Research topics include converter control design
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layers. Within this environment, we will design and evaluate new reinforcement learning algorithms capable of operating in large, partially observed spatial domains to infer efficient, interpretable
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: develop practical guidance and educational materials on the legal and ethical aspects of Virtual Human Twins; design and deliver engaging training sessions, workshops and presentations for researchers
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to work on the design of novel nucleic acid delivery technologies for ex vivo/in vivo CAR-T cell engineering. The postdoc will assist in the development, optimization, characterization and (ex vivo/in vivo
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Management Skills expected: Independent design, plan and coordinate research in accordance with the projects objectives Serve as the primary liaison between LMVGT, LVVC and consortium partners and the other
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. ECOJUST aims to co-design a citizen science approach that makes visible hidden vulnerabilities, interdependencies and potentials for regenerative action related to climate resilience, ecological health and
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networking. The research areas focus on the formulation, modeling, design, and analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems. Use cases
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. Design and implement scientific software using modern development practices. Improve simulation performance, scalability, and usability. Collaborate with industrial partners and system operators. Publish