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for such applications. To respond to these challenges, this project aims to investigate automated decision making based on machine learning. The candidate (H/F) will propose and validate centralized as
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closely with our collaborators to establish a deep learning-based image analysis pipeline. The successful applicant should hold a PhD in cell biology or neuroscience. Previous experience in live cell
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should have a master degree or equivalent, with a strong background in solid-state physics and optics. The candidate should have a strong taste for experimental research. Good communication skills in
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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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: 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
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | about 1 month ago
analysis. Objective The goal of this PhD is to formally verify the memory safety of Linux kernel drivers. The project will focus on driver interactions with the kernel, including the direct use of kernel
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significant part of the project will be dedicated to the analysis of the complex electrophysiological data. This analysis will be carried out in close collaboration with computational neuroscientists. Although
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laboratory team is likewise highly recognized for its research in computer vision and neuro-inspired artificial learning. Both teams have been collaborating for four years on projects at the interface between
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stations for large-scale bioinformatic analysis, a cryo-EM microscope recently installed at the institute, as well as privileged access to state-of-the-art infrastructures: cryo-EM Titan Krios (ESRF
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correlations between active galactic nuclei, especially blazars, and neutrinos detected by KM3NeT. In this context, he or she will play a key role in the KM3NeT real-time data analysis group, as well as in