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As a flagship research center in nanoscience and nanotechnology, our mission is to open and explore new frontiers of knowledge at the nanoscale, and bring value to society in the form of new
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
Requirements Required skills, abilities, and knowledge: Recent or soon-to-be completed PhD (within the last 0-5 years) by the start of the appointment in computer science, electrical engineering, applied
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providing alternative solutions to the overall societal challenge of lowering the environmental impact of plastics. About the research project Recent awareness of the impact of fossil-based plastics and their
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the ways that human cytomegalovirus (HCMV) modulates NK cell activity in order to promote lifelong persistence and the impact this has on host NK cell immunity. The lab is well funded by the Medical Research
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resistance Working experience in plant defensive compounds and their impact on insects Evaluation criteria Maximum score 1. B.Sc. degree grade (Score points = grade x 1) 10 2. PhD in Biology/Molecular Biology
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SD-26086 POSTDOCTORAL RESEARCHER IN THE PHYSICAL VAPOR DEPOSITION OF ELECTROCATALYST FOR PHOTOANO...
Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices
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SD-26085 POSTDOCTORAL RESEARCHER IN THE OXIDATIVE CHEMICAL VAPOR DEPOSITION OF FUNCTIONAL BUILDIN...
Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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quasi-optical properties. The PDA is expected to actively disseminate results through publications in high-impact journals and presentations at leading international conferences. The PDA is expected
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algorithms to understand how perturbations to dynamic brain networks impact seizure likelihood. With an emphasis on the emerging field of digital twins for personalised health, the ultimate aim is to translate
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materials, for oil-based plastic replacements, as well as process adaptation, thus providing alternative solutions to the overall societal challenge of lowering the environmental impact of plastics. About the