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of front-end electronics and miniature RF antennas for chronic implantation. You will prototype and characterize the wireless link (power + sensing), design and optimize sensor-resonator coupling, and
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optimization of complex systems, intelligent data and information systems, as well as networks, distributed systems, and security. LIMOS stands out for its interdisciplinary approach, combining theoretical
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offering a postdoctoral position in multi-messenger astrophysics related to the KM3NeT, SVOM, and COLIBRI detectors. The main objective is to complete the development and optimization of the KM3NeT neutrino
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a family of specific peptide substrates for the PKs of interest (PKs of the JAK, GRK, IRAK, RIPK and ERK/MAPK families) (2) developing and optimizing fluorescent peptide biosensors from the identified
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optimize a multimodal pretargeted radionuclide therapy approach for PDAC, leveraging the simultaneous targeting of both neoplastic and stromal targets to enhance therapeutic outcomes and reduce associated
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cavitation and the effects observed on biofilms and bacteria, and to understand these links, in order, in the long term, to optimize and control this type of therapy. The profile of the PhD student (M/F) must
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of the main technical challenges associated with each pattern. - You will develop these proxy apps by leveraging the libraries, frameworks, and tools provided by the other NumPEx teams. - You will optimize
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accelerate Europe’s energy transition. This ambitious goal will be achieved by developing advanced experimental and computational tools to characterize e-fuel combustion processes, optimize fuel-flexible
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systems and accelerate Europe’s energy transition. This ambitious goal will be achieved by developing advanced experimental and computational tools to characterize e-fuel combustion processes, optimize fuel
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 19 days ago
, transitioning from adaptive systems to self-adaptive systems. Spirals creates the future techniques for building self-healing and self-optimizing software systems. The deployment and the execution of Cloud