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the Facility, they will be responsible for the proper operation of the in vivo imaging equipment of the Institute, training and assisting users to develop new protocols matching custom needs, supporting users in
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Master/engineer degree in computer science, applied mathematics, data science with background in image processing, imaging inverse problems, deep learning and optimisation. Good coding skills for numerical
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, design, operation and closure - of IT projects using standard workflows. Act as the Single Point of Contact (SPOC) for IT project requests for DMI. Facilitate stakeholder communication and alignment across
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the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
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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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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