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Division (DED) conducts scientific activities aimed at promoting the sustainable and secure development of carbon-free underground energy production and use, while helping to increase energy independence. It
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Development and execution of experiments in mesoscopic physics related to Shapiro steps of a Josephson junction and switching dynamics. The candidate should set up the experiments and perform measurements
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-simulation databases opening up the possibility of interpretations by deep learning techniques. A numerical database is provided by the team at CORIA, which is also in charge of developing the optical models
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work will be organized around the following areas: 1. Bee detection and tracking: Development of computer vision algorithms to identify and track each bee from high-resolution images, while
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candidate will be responsible for the full range of activities related to the development, testing, and evaluation of the learning models. They will also receive support from LOA experts for the execution
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to generate and disseminate knowledge and train new generations of responsible citizens, to better understand, explain and advance society and the environment we live in. The main part of the University is
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requiring AI are not necessarily permanently connected to the grid. The need to develop an energy-efficient hardware for the implantation of AI in nomadic systems is becoming increasingly urgent. Major
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gene therapy, vaccine development, and genome-wide CRISPR screens. They a also a promising therapeutic target, as interfering with genome packaging could inhibit viral propagation while reducing the risk
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will then be prepared and tested by our collaborator in different types of relevant cells. - Preparation and validation of gene libraries. The recruited person will have to design and prepare DNA
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Postdoctoral position: Developing a human lymphoid organ-on-chip to evaluate candidate mRNA vaccines
A post-doctoral position is available to develop a 3D model of a human lymph node and apply this model to preclinical vaccine evaluation. The successful applicant will join the team of Lisa