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will be involved in the development of MKID detectors. Close interaction with the teams involved in the AMINO project is also necessary in order to properly define the algorithms required for data
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data from public or commercial databases and develop algorithms using existing libraries. Based on the previously identified resources, the Ph. D. thesis will then focus on the extraction of oxides and
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. Côte d’Azur & INRIA), will be focused on the development and the understanding of deep latent variables models for unsupervised learning with massive heterogenous data. Although deep learning methods and
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laboratory from Université Côte d’Azur (UCA). He leads the eBRAIN research group and develops an interdisciplinary research activity on embedded bio-inspired artificial intelligence and neuromorphic
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in three dimensions with an increased speed and resolution. One important challenge remains in iterative reconstruction algorithms, which require a lot of processing. This is currently developed
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programs and research activities. • Develop and transmit knowledge based on research achievements within initial and continuing education. • Develop and contribute to fundamental and applied research
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distributions, characterize power under alternatives, and analyze automatic adaptation to intrinsic data structure. The algorithms developed will target scalability to large datasets via adaptivity without manual
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• Supervisor: Ezio MALIS • Research group: ACENTAURI project-team, Inria Center at Université Côte d’Azur Research teams ACENTAURI is a robotic team located in Sophia Antipolis that studies and develop
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should be implemented to speed-up the acquisition rate and to optimize the setup sensibility and efficiency. Then implementation of new algorithms to build new biomarker maps should be also developed
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efficiently, the candidate will develop algorithms capable of tracking resolvent modes as parameters vary, thus significantly reducing the overallcomputational cost. In the second and third years, the study