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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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will work in a stimulating and highly collaborative environment, alongside experts from an ERC-funded project in wireless bioelectronics. We invite applications for a fully funded PhD position
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candidate will perform experimental work related to the PUI FITInnovE project “PEPTAFLU.” This postdoctoral project aims to characterize inhibitory peptides developed through engineering using phage display
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include well-equipped wet laboratories, with conventional labs for non-radioactive experiments, shielded labs for radiochemistry equipped with dedicated hoods for work with α-emitters or high-energy γ-rays
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of regulation of BMP1 activity, at the molecular, cellular and tissue levels, with the goal to develop innovative therapeutic approaches to treat wound healing disorders. Background Previous work has shown
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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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-Performance Computing for Exascale" contributes to the design and development of numerical methods and software components that will equip future European Exascale and post-Exascale machines. This program is
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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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Technology is proudly certified as a BCorp® and recognized as a Great Place to Work®. Ph.D. project in a nutshell: The digital transformation of industrial processes relies on sophisticated instrumentation
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months 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