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foundations of feature learning in neural networks. Engage in the life of the CSD, including participating at the weekly seminars. Present results internally and at international venues; Qualifications PhD in
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Work Package 4 that aims to integrate heterogeneous data acquired through Work-packages 1 to 3 and decipher genome–phenome relationships, working in close collaboration with a PhD student working on
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, clustering analyses, propagating location and other uncertainties...) of mid-ocean ridge catalogs, using standard, Bayesian and machine learning techniques. ⁃ Implement methodologies that improve estimates
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results in leading conferences and journals Required Qualifications PhD in one of the following areas (or related fields): Machine learning / deep learning Quantum computing / quantum information Applied
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colour centre spins. Your work supporting and further develops the fabrication of these chips, i.e. together with 1-2 PhD students, you will work on the sample process line involving several cleaning steps
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Institut of Mathematics of Marseille | Marseille, Provence Alpes Cote d Azur | France | about 18 hours ago
machine learning applications. Position Objective : The primary focus of this position is to develop concentration inequalities in the nonstationary setting, specifically for periodic Markov chains and
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” focusing on the effect of a fluctuating environment on the collective dynamics of self-propelled agents, a numerical part on “reinforcement learning” focusing on optimizing communication between agents in a
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, willingness to learn, and strong listening skills. Passionate about innovation, with expertise in Linux development (Linux on Rail is a plus) and strong persuasive abilities. A PhD in Operating Systems or a
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physics groups, as well as the DELPH (Detection and Lasers for Physics) and GTA (Acquisition Techniques Group) groups. The Physics Division is composed of 25 permanent physicists, around 20 PhD students and
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plus - Good writing skills and oral expression in english (at least B2) - Scientific rigor and curiosity Technical skills : - Required: PhD or engineering degree in deep learning - Required: good