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Field
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working memory contents held within. Second, we will use computational spiking-neuron models to explain the results of the experiments and implement the neural mechanisms responsible. These models will also
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline * Extensive experience and
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modelling and simulation of complex systems reinforcement learning or graph neural networks proficiency in Python and related computational toolchains a strong interest in interdisciplinary research bridging
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support PhD candidates in their thesis research Teach courses at bachelor and master level in relevant fields such as artificial intelligence, machine learning, neural networks, computer vision or image
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Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
PhD supervisors and co-direction Name: GAUCI Surname: Marc-Olivier Grade: HDR Institution: ICARE, Inserm U1091 Email: gauci.mo@chu-nice.fr Phone number: 04 92 03 70 27 Name: Micicoi Surname
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Qualifications* PhD in Computer Science or Engineering, Biomedical Engineering, Neuroscience, Bioinformatics, or other relevant field. Experience with machine learning and statistical analyses. Proficiency with
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Lomet, Research Engineer in AI at LIAD, CEA Saclay · Marianne Clausel (University of Lorraine), scientific lead of the national PEPR causali-t-ai program, · Myriam Tami, Associate Professor
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Application Deadline 31 Aug 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Oct 2025 Is the job funded through the EU Research Framework Programme? Not
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units in neural networks, which drive both artificial and natural intelligence. Current projects span a wide range of topics in deep learning theory and theoretical neuroscience. For more information and
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; multiple courses to follow from our Teaching and Learning Centre; a complete educational program for PhD students; multiple courses on topics such as leadership for academic staff; multiple courses on topics