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approaches for the analysis of omics, digital, and molecular pathology data, to support precision medicine. We work with real-world data in a highly interdisciplinary environment fostering translational
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for administration into the brain. - experimentation on living organisms - behavioural analysis. 100% laboratory work with physical presence. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7275-HELMAR
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characterization, distribution, diversity, and transmission mechanisms between rhizobia and hostel plants. Main responsibilities: The selected candidate will be expected to: Conduct research as part of the project
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collaborative and proactive Post Doctoral Research Associate to join a multi-national ERC Synergy Programme, EndoTheranostics, aiming to revolutionise Colorectal Cancer Treatment. The post-holder will work in the
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Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | about 6 hours ago
will join the BOOST project team at Inria Paris-Saclay and contribute to two central work packages of the project: Integrating signal analysis and artificial intelligence for characterizing brain-heart
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, trauma and history are entangled. Job description: In close coordination with the project management and the other project staff, the computer-assisted analysis of interviews with Holocaust survivors will
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, data analysis culminating in paper publication. The duties include proposal preparation, editorial work, presentation of results, outreach and career development. The group has a focus on studies of
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datasets generated by the Phenomobile.v2+ to identify key traits affecting crop performance under stress conditions. Implementing a multimodal approach for large-scale data analysis using CPU and GPU
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languages: Unity, C#, R, Python, etc. Concept i on and development of visualisation tools Implementation of experimental protocols, experimental methodology Analysis of experimental data Use of eye-tracking
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In this role, you will be responsible of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with