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PhD degree in Telecommunication Engineering, or Electrical Engineering, or Computer Science/Engineering with a focus on SDN/NFV Strong expertise in SDN, orchestration, NFV, and container technologies
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work at the intersection of materials science, physics, and engineering, shaping the future for sustainable energy and automotive applications. The position is funded under the MSCA-COFUND scheme
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) and contribute to one of Europe’s most exciting research initiatives. Collaborate with a dynamic, interdisciplinary team that combines science, sustainability, and technology to create a better future
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initiatives. Collaborate with a dynamic, interdisciplinary team that combines science, sustainability, and technology to create a better future. Help shape the next generation of sustainable materials inspired
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of Materials was established in October 2023. We are an international and interdisciplinary team of material scientists, roboticists, engineers and chemists with a passion for futuristic robotics. We take a
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major challenges in brain delivery, immunotherapy, and the treatment of retinal, vascular, infectious, or other diseases. The candidate will lead projects aimed at engineering non-viral vectors capable
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datasets/simulators relevant to space environments. Teamworking: Collaborate closely with team members at SpaceR and Redwire Space Your profile PhD in Robotics, Computer Science, Mechanical Engineering
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Fixed term contract | Hautcharage | 18 Months Are you passionate about research? So are we! Come and join us The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology
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Two Postdoctoral Researchers in Cell Delivery-Based Beta Cell Replacement Therapy for Type 1 Diabete
Sciences (DACS). DACS is an international community of approximately 100 researchers at various stages of their career, embedded in the Faculty of Science and Engineering (FSE). Our department has more than
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functional and phenotypic assays on human T cells (in vitro and ex vivo) Engineer T cells using mRNA delivery platforms via lipid nanoparticles Characterize T cell subsets using multiparametric flow cytometry