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) and/or machine learning (about 10 PIs). The Physics Laboratory is about 180-member strong and conducts world-leading research on a broad range of topics, including quantum technology, statistical
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Materials and Processes) joint laboratory, a collaboration between the University of Haute-Alsace, the CNRS and Arkema. The PhD student will therefore benefit from an academic and industrial research
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. Experience in conducting experimental work (experimental internship) 2. Basic understanding of magnetohydrodynamics 3. Knowledge of Python programming 4. Experience in signal and/or image processing _Personal
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spectrum of topics in CNU sections 27 "Computer Science" and 61 "Computer Engineering, Automation and Signal Processing". The laboratory is located at the heart of the Sophia Antipolis technology park, in a
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the experimental setup, synchronising the cameras, optimising the illumination, and developing image-processing methods to extract propagation pathways and velocities. Several plant species and different branching
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cellular changes. Advanced imaging techniques, including structural and functional-MRI, developed by Dr. Emmanuel Barbier (GIN director), will be used to optimize rSynES and monitor neuronal changes over
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growth at grain boundaries; (iii) the development of methods for in situ pH monitoring; and (iv) data processing (image analysis). Keywords: microfluidics, bioprecipitation, porous media, MICP
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processing (image analysis); (iv) the results will be used as input parameters for reactive transport modeling. Keywords: microfluidics, micro-model design, heterogeneous porous media, leaching, reactive
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high branching ratio of H(bb) and the high detection sensitivity of the H(γγ) channel. Since the di-Higgs production cross-section is 500 times smaller than that of a single Higgs boson, this process has
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develop a new generation of hybrid models combining large-scale machine learning with physical knowledge to represent interactions between mobile robots and their environment. The research will address