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genetics, genomics, imaging processes, computational biology and biochemistry. Our goal is the deep and detailed understanding of fundamental mechanisms in plant biology that may then also be used to develop
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The candidate should preferably have a PhD in Computer Science or Robotics with a solid background on deep learning and 3D scene understanding. Experience with LiDAR and Computer Vision is a plus. The candidate
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complicates both learning and inference processes. Another challenge is that dynamic structured data are generated by a variety of sensors and infrastructures that continuously produce, disseminate, and store
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accepted intervention protocols is still an open challenge. The noninvasive analysis of AF can be carried out by processing cardiac signals recorded by electrodes located on the patient’s skin, giving rise
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to train a local model autonomously. The dissatisfied client may then abandon the training procedure (or refuse to join it in the future), impoverishing the aggregate pool of data and then the quality
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cells from the skull bone marrow to neurodegenerative processes using cutting-edge tools in neuroimmunology. The selected intern will work closely with our team to perform and analyze experiments
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Application procedure: Interested candidates should send an e-mail with their CV, their transcripts and two possible referee contacts to marco.corneli@univ-cotedazur.fr and emmanuelle.vila@mom.fr
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resources ANR Package : €200 000 INRAE Package : €325 500 Total : €525 500 Training and skills PhD or equivalent Process engineering, chemistry, microbiology INRAE's life quality By joining our teams, you
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' Night, science centers, conferences, debates • Regional Research Network (R3) MicroBio-NA communications SELECTION PROCESS Application Review: Only candidates pre-selected based on application
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processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered. All qualified individuals are encouraged to apply. In line with our values