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, Communication, Optimization • SyRI: Robotic Systems in Interaction The PhD student will join the CID team, whose research focuses on Artificial Intelligence, including statistical learning, uncertainty management
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projects aim to gain a better understanding of how unicellular photosymbiosis works by combining subcellular microscopy approaches (3D electron microscopy). This thesis is funded by a European ERC
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equipment, particularly in imaging and electron microscopy, image analysis, and bioinformatics. The team is composed of five people. The thesis will be carried out as part of a collaborative ANR project
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(PhD). • State-of-the-art, exciting research in an international consortium with highly integrated research projects. • Expert training in basic and applied research, along with a thorough understanding
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slices, dissociated cultures), preparation of vectors for the expression of fluorescent markers, fluorescence imaging and cryo-electron microscopy, analysis and formatting of experimental data, manuscript
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of Fundamental Electronics (IEF). In 2018, the teams moved into a building located at the heart of the Paris-Saclay Campus. The objective of this thesis is to study the mechanisms of optomechanical coupling in
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and operando gas-assisted Environmental Transmission Electron Microscopy experiments to the investigation of gallium doped zeolites under realistic conditions of functioning, in the framework of a
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wide 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
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system serving a highly stable Mach-Zehnder interferometer, a state-of-the-art velocity map imaging (VMI) spectrometer, and an electron time-of-flight spectrometer. The position provides rigorous training
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: electronic structure calculations (plane wave DFT if possible), statistical thermodynamics, molecular dynamics. Skills in Python, bash scripting, Fortran 90 and machine-learning would be appreciated. The PIIM